Hani Samawi completed his Ph.D. in Biostatistics from the University of Iowa, USA on 1994. He is full Professor of Biostatistics at  Yarmouk University until 2006. Currently, he is a tenured Full Professor in Biostatistics in Jiann-Ping Hsu college of Public Health College at Georgia Southern university and the Director of the Karl E. Peace Center for Biostatistics.  In addition on Feb 7, 2013 he became a fellow of the Institute for Inter disciplinary STEM Education.

Biostatistics, Ranked Set Sample, Bootstrap and Resampling Methods, Parametric and Nonparametric Inference, Monte Carlo Methods, MCMC Methods, Data Analysis, Inference for Randomized Clinical Trials, Meditator with RegressionAnalysis, Simultaneous Equations Models Latent class analysis.

Dr. Robert Oster is Professor in the Division of Preventive Medicine, Department of Medicine at the University of Alabama at Birmingham (UAB). He currently serves as the Co-Director of the Biostatistics, Epidemiology, and Research Design Program of the UAB Center for Clinical and Translational Science and also as Co-Director of the Biostatistics Core of the UAB/UMN Pancreatic Specialized Program of Research Excellence (SPORE). He received his Ph.D. degree in biostatistics from the University of Cincinnati and his M.S. degree in statistics from the University of Kentucky. He has over 25 years of experience in collaboration with investigators in multidisciplinary and clinical and translational research on numerous NIH and private foundation funded research projects. His extensive statistical consulting experience spans university, government, and contract research organization settings. He currently serves as Chair-Elect of the Association for Clinical and Translational Science Biostatistics, Epidemiology, and Research Design Special Interest Group, and has served as President of the Association of Clinical and Translational Statisticians, Chair of the American Statistical Association Section on Teaching of Statistics in the Health Sciences, and Chair of the national Clinical and Translational Science Award Biostatistics/Epidemiology/Research Design Online Resources Task Force and Education Working Group. In addition, he has served on several study review groups and special emphasis panels for cancer- and nutrition-oriented study sections of the NIH. He has authored or co-authored more than 100 peer-reviewed publications. He has also served on more than 35 dissertation and thesis committees.

Categorical data analysis, longitudinal data analysis, modern statistical computing methods, and clinical trials methodology, statistics education to non-statisticians

Han-Joo Kim is an Associate Director in Biostatistics of Oncology Product Creation Unit at Eisai Inc. Prior to joining Eisai, he worked in a number of different pharmaceutical companies with a role of global statistical lead including Novartis and Forest Laboratories. He also took a leadership role in development of biostatistical services at Cognizant Technology Solutions. He has proven ability and skillset to lead all strategic & operational statistical activities and to lead mutidisciplinary team with adaptive & modern leadership style. He is responsible for the discussion and implementation of modern and innovative trial designs, statistical model-based drug development approaches, and analysis methodologies that optimally address the research objectives of the clinical trials and support the goals of the indications. Throughout his career in the pharmaceutical industry, he has been also active in publishing articles in statistical methodology and also an author of a monograph in statistics. He graduated from the University of Pennsylvania with Ph.D. and M.S. in biostatistics, and graduated from the George Washington University with B.S. in statistics.

Multiple testing procedures, analysis of multivariate longitudinal data, clinical trials, and adaptive designs.

Ena Christina Bromley is a president and founder of BioStat Solutions Inc. She have extensive experience in the collection, analyses and interpretation of clinical data as it relates to various clinical disciplines. She have experience in presenting and discussing statistical issues to a diverse audience of team players, ranging from individuals with no statistical backgrounds to key statisticians in clinical studies for pharmaceutical, vaccine and medical device companies. Since she is in training and experience in both the clinical and statistical environments. She was aware of the need and importance of communication between the statistician and clinical investigator with the objective to ensure that the highest possible standard of statistical analysis and interpretation is obtained for a study.

Vaccine development including assay quality assurance tools and assay development within various fields including HIV, H1N5, microbicides and HCV.

Munni Begum is an Associate Professor in the department of Mathematical Sciences at Ball State University and is the director of Statistics graduate program. She received her doctorate in Biostatistics from the Department of Biostatistics inthe School of Public Health of University of North Carolina at Chapel Hill. She has been working over fifteen years in the academic setting as a faculty member and collaborative researcher in the fields of Statistics and Biostatistics. Her contributions in teaching, research and service include classroom teaching and designing graduate courses on current topics of Statistics and Biostatistics, publishing research articles in peer-reviewed journals and being engaged in professional service. She supervised several Master’s and honor’s thesis in the area of statistics, biostatistics and computational biology.  She actively collaborates with faculty members and researchers with interdisciplinary background. Her successful collaboration with faculty members from Computer Science and Biology resulted an interdisciplinary course in bio-computational methods. Recently she has been working on the high-dimensional discrete data generated at the genomics level using the sequencing technology. In order to complete her research project on high-dimensional discrete data successfully she is collaborating with researchers at the Statistical and Applied Mathematical Science Institute (SAMSI).

General methods and principles of Statistics and Biostatistics, Linear and generalized linear modeling, Modeling categorical data,Time dependent and longitudinal data analysis, Multivariate techniques, Survival Data Modeling, Bayesian methods and hierarchical modeling, Computational biology and Bioinformatics.

Sheshnath Rai is a Wendell Chery Endowed Chair Professor of Bioinformatics and Biostatistics, and the Director of the Biostatistics Shared Facility at the James Graham Brown Cancer Center at the University of Louisville. Also, He is the Fellow of the American Statistical Association.  He started his career in India as an Assistant Professor in 1982. Then He moved to Canada and obtained his PhD in 1993 from the University of Waterloo. As of 2013, He had spent more than 14 years designing numerous pre-clinical, cancer and heart failure clinical trials, and retrospective and prospective clinical studies, including high throughput observations. As a past member of the Institutional Review Board of St. Jude Children’s Research Hospital, St. Jude Safety Board and current member of Cancer Clinical Research Committee and Data and Safety Monitoring Committeeof the James Graham Brown Cancer Center, University of Louisville, He had learned and always implement the safety issues in local and industry-sponsored clinical studies. He had served in NIH review panels as well as on projects for the national academy of sciences and the National research council and Cistel technology in Canada. He serves as statistical reviewer for many national and international scientific journals, including editorial board member in three journals. With his 150+ manuscripts, He had advanced statistical science or collaborative research dealing with pre-clinical data, longitudinal data, clinical trials, clinical informatics, retrospective studies, and survey studies.

Clinical Trials, Survival Analysis, Bioinformatics, Mixed Effects Model, Sample Surveys, Quantitative Risk Assessment

Chi Wang is an Assistant Professor in the Department of Biostatistics, College of Public Health and the Biostatistics and Bioinformatics Shared Resource Facility, Markey Cancer Center at the University of Kentucky. Prior to joining the University of Kentucky, he was an Assistant Professor in the Department of Statistics at the University of California, Riverside.He received the B.S. and M.S. degrees in statistics from Peking University, and the Ph.D. degree in biostatistics from the Johns Hopkins University. He is interested in causal inference and Bayesian methods. He is also interested in bioinformatics, especially the analysis of next-generation sequencing data.

He is interested in causal inference and Bayesian methods. He is also interested in bioinformatics, especially the analysis of next-generation sequencing data.

Kiri has over 20 years experience as professor on Statistical Epidemiology of which 12 are within the industry. He is a Chartered Statistician and a fellow of the Royal Statistical Society as well as a Chartered Scientist- in recognition of his methodological expertise in observational studies by the UK Science Council. He holds Master degrees in Operational Research (MSc) and Public Health (MPH), as well as a doctorate (PhD) in Statistical Epidemiology. He has previously served as a consultant to the UK Department of Health on health outcomes for over fifteen years and as an independent Research Grant Assessor for the UK Medicines Research Council. He is a member of the International Societies of PharmacoEpidemiology (ISPE), Pharmacoeconomics and Outcomes Research (ISPOR) and the Society of Social Medicine (SSM) and has conducted workshops on PharmacoEpidemiology at international conferences, notably ISPE (2004 & 2005), ISPOR (2003, 2007, 2008 & 2010) and SSM (2009). He is a reviewer for a number of scientific journals and on the editorial board of one. He is currently a Vice President at FV&JK Consulting Ltd- an independent service provider to the Pharmaceutical/Biotechnology sector. Until July 2011, he was director of PharmacoEpidemiology at PAREXEL International, having joined the company from GlaxoSmithKline in 2007. He holds a chair in Epidemiology in an adjunct capacity at the University of Limerick, Ireland. He is also a visiting professor at the Institute for Pharmacy Practice & Policy, the Netherlands and the University of Port Harcourt, Nigeria.

Methodological issues in observational research; Survival analysis; Pharmaceutical Statistics; Biostatistics; Drug safety and effectiveness research

Berger received holds degrees in statistics from Cornell University, Stanford University, and Rutgers University. His professional career has included work in the pharmaceutical industry (Janssen Research Foundation, Theradex, and some consulting for Pfizer), work in two centers of the Food and Drug Administration (Drugs or CDER and Biologics or CBER), and now he serves as a Mathematical Statistician for the National Cancer Institute. He taught in the past at Rutgers University, the Johns Hopkins University School of Public Health, and the University of Maryland, and has written a book on clinical trial design and analysis. He is an active researcher, having written numerous scientific articles on the design and analysis of clinical trials in peer reviewed journals. He has also presented numerous invited lectures on this topic.

Design and analysis of randomized clinical trials

Yichuan Zhao  is a Full Professor of Statistics, Georgia State University, Atlanta.  He was an elected member of the International Statistical Institute. He has a B.S. and an M.S. in Mathematics from Peking University, and an M.S. in Stochastics and Operations Research from Utrecht University. He received his Ph.D. in Statistics from the Department of Statistics at Florida State University in 2002 under the direction of Professor Ian McKeague.  He has a joint appointment as Associate Member of the Neuroscience Institute and he is also an affiliated faculty member of Partnership for Urban Health Research at Georgia State University.

Survival Analysis, Empirical Likelihood Method, Nonparametric Statistics, Analysis of ROC Curves, Bioinformatics, Monte Carlo Methods, and Statistical Modeling of Fuzzy Systems.​

Richard Kotz has been a statistician with the Center for Devices and Radiological Health at FDA for the past 22 years and has reviewed close to 1,000 medical device clinical trial protocols. The last 7 years he have served as a team leader for the General and Surgical Devices Branch reviewing study designs and analyses of clinical trials for a wide variety of devices including OB/GYN, gastroenterology, urology, diabetes, pulmonary, anesthesia, renal and dental devices. In the past he have had the privilege of serving in a variety of capacities with several statistical organizations including: President of the FDA Statistical Association, co-chair and steering Committees for the FDA/Industry Workshop, Society of Clinical Trials, Program Committee for DIA’s Workshop on Multi-Regional Clinical Trials, chair of the Medical Device and Diagnostic Section of the ASA, and Executive, Program and Regulatory Committees for the International Society of Biopharmaceutical Statistics. He had also organized many sessions and short courses for JSM, SCT, ISBS, and FDA/Industry Workshop on important topics including Bayesian Statistics, Adaptive Designs, Missing Data, and Multi-regional Clinical Trials. In addition, he had presented sessions on medical device clinical trial design, conduct, and analysis in both national and international meetings.

Martin Bohner is the Curators' Professor of Mathematics and Statistics at Missouri University of Science and Technology in Rolla, Missouri, USA. He received the BS (1989) and MS (1993) in Econo-mathematics and PhD (1995) from University Ulm, Germany, and MS (1992) in Applied Mathematics from San Diego State University. He was a Postdoc, sponsored by the Alexander von Humboldt-Foundation, at National University of Singapore (1997) and at San Diego State University (1998). Martin Bohner is the President of ISDE, the International Society of Difference Equations. He is the author of four textbooks and more than 200 publications, Editor-in-Chief of two international Journals, and Associate Editor for more than 50 international journals. His work has been cited almost 10000 times in the literature, including more than 2500 citations of his book "Dynamic Equations on Time Scales: An Introduction with Applications", co-authored with Professor Allan Peterson. His honours at Missouri S&T include five Faculty Excellence Awards, one Faculty Research Award, and eight Teaching Awards.

Differential, difference, and dynamic equations as well as their applications to economics, finance, biology, physics, and engineering.

Lin received Ph.D. in statistics from Duke University in 1993.  Since then he has worked in the bio-pharmaceutical industry with increasing statistical leadership role.  He has been a key contributor and leader for strategic planning and critical input to address regulatory challenges with multiple regulatory submissions and interactions in US, EU, Japan, and other countries.  He developed in depth technical skills and extensive experience in identifying and solving challenging statistical problems in clinical development projects across a variety of therapeutic areas, with expertise in neuroscience, metabolism and respiratory disease.  He has multiple first authored publications and invited presentations with application of statistical methods.   He successfully built and managed strong statistics teams and departments handling multiple projects and therapeutic areas in regulatory submissions, as well as early phase clinical development.  Currently he served as a vice president at InterMune Inc. responsible for statistics and data management.

Statistical application in clinical studies for drug development, including study design, Bayesian adaptive design, multiceter/country/region studies, issues of missing data handling, clinical endpoint selection, and etc.

Hardin has authored or co-authored over 80 papers in various journals. He is the author or co-author of over 150 abstracts presented at national meetings and has given over 75 invited lectures or talks. Hardin often serves as a consultant to healthcare organizations in the areas of data mining, sampling, and program integrity. Additionally, he is an instructor and consultant for the SAS Institute in the areas of data mining and time series analysis. He is Adjunct Professor of Biostatistics and Adjunct Professor of Health Informatics at the University of Alabama at Birmingham. He has served as Scholar in Residence in the Center for Information Management, Department of Information Systems and Operations Management, Loyola University, Chicago, and Visiting Professor in the Department of Management and Information Sciences and Statistics at Trinity College, Dublin, Ireland. He is a member of numerous professional associations including the American Statistical Association, the Biometric Society, and the Institute of Mathematical Statistics.  He was also named a Fellow of the American Statistical Association.

Statistical issues in Data Mining and Knowledge Discovery, including appropriate Data base and Data Ware house design and development. Particular areas of application include health and health care organization data analysis, e.g. profiling, case-mix adjustments, fraud and aberrancy identification, and utilization and risk management. Other application industries include marketing organizations, database marketing, credit scoring, and financial risk management. Additional areas of interest include statistical methodologies for the design and analysis of longitudinal studies, hierarchical (HLM) modeling, Bayesian methods, the statistical analysis of cancer chemo prevention experiments, the interaction and relationship of philosophies of science to the development of statistical methodologies, statistical issues in the design of experiments, time series analysis, simulation, and statistical computing and education.

Larry Price is Professor of Psychometrics & Statistics at Texas State University. He received the degree of Doctor of Philosophy from Georgia State University in 1997 with a concentration in Research, Measurement, and Statistics. Prior coming to Texas State University, he served as a Psychometrician and Statistician for the Emory University School Medicine, Department of Psychiatry & Behavioral Sciences from 1996 to 1999. Between 1999 and 2001, He was employed at The Psychological Corporation in San Antonio, Texas as a Psychometrician II where he advanced innovative work on the Wechsler Scales of Intelligence and Memory.Currently, he serves as Director of Initiative for Interdisciplinary Research Design and Analysis(IIRDA) at Texas State University, a role that involves conceptualizing and writing the analytic segments of large-scale competitive proposals for National Institutes of Health, National Science Foundation, Department of Defense and similar funding agencies.

Developing and testing complex measurement and statistical models to address problems in biological science and engineering, psychometrics, education using large-scale databases, and neuroscience/neuroimaging.

James (Jim) He, PhD, is Professor of Community and Rural Medicine, Rural Programs Director of Education and Evaluation for the Rural Health Leaders Pipeline, and Charter Senior Investigator in the Institute for Rural Health Research. He is the academic adviser for Rural Medical Scholars and graduate students in the Pipeline’s Rural Community Health curriculum, teaches biostatistics courses, oversees student research projects, and serves on numerous dissertation committees (recently completing his 200^th). He has directed the Rural Medicine rotation for third-year medical students from the University of Alabama School of Medicine, and he was Chair of the College’s Department of Behavioral and Community Medicine (later renamed Community and Rural Medicine) for 15 years. He is also a faculty member of the Applied Statistics Program and the doctoral program in Health Education/Health Promotion.  

He received the UA National Alumni Association’s prestigious Outstanding Commitment to Teaching Award in 1995 and the 2003 Outstanding Alumni Award from the College of Public Health, University of Iowa. He became a Fellow of the American Statistical Association in 2015. He graduated from the University of Iowa, and earned his PhD in 1977 in the Department of Preventive Medicine and Environmental Health (biostatistics). He is a member of the National Rural Health Association Rural Medical Educators Group, which is influential in the development of rural medical education programming, and he is involved in the Society of Teachers of Family Medicine Pre-Doctoral Education discussions with medical student educators from around the United States. He is past chair and board member of the Intersectional Council, American Public Health Association. He has been a member of the APHA since 1977 and has been especially active in its Statistics Section, serving as section chair, program planning chair, governing councilor and section councilor. With the APHA, He has also served as the following: member of the Executive Board, Science Board, Education Board, Continuing Education Committee, Program Development Board, Joint Policy Committee, and Taskforce on Community Preventive Services. He is currently chair of the APHA Membership Committee.

He has published 98 refereed articles, co-authored four book chapters, and served as the co-author of 100 paper presentations and posters. Much of his work deals with rural health issues, including community-based program evaluation. Statistical methodology work has dealt with missing data problems in longitudinal analysis and spatial/temporal analysis.

My research interests include applied statistical methods, medical education, rural health, incomplete data methods, spatio-temporal statistics.

Edith Zang is a Senior Statistician, Principle Investigator and Professorwith 30+ years of statistical consulting and teaching experience in the pharmaceutical industry and in non-profit academic research. She is highly effective in explaining statistical principles to non-statisticians, with excellent written and oral communication skills. She is expert in designing and analyzing Phase I through III clinical trials, epidemiological investigations, and basic research studies. She is proficient in the application of traditional and novel statistical methods. Also, she is principal author and co-author of more than 100 publications in professional journals. She is fluent in English, Hungarian and German.

Design and analysis of randomized clinical trials, epidemiological investigations and basic research studies.

Gebregziabher Mulugeta is an Assistant Professor of Biostatistics in the Division of Biostatistics and Epidemiology (DBE) at the Medical University of South Carolina (MUSC) and a core investigator with the VA Health Services Research and Development (HSR&D) funded Center for Disease Prevention and Health Interventions for Diverse Populations. His research expertise is in the areas of missing data, longitudinal data analysis, fMRI data analysis, mixture modeling and interprofessional research. As demonstrated by his publications and research funding, He have experience in the analysis of several types of data sets (including experimental, survey and observational) using both crossectional and longitudinal methods. He also has experience in the development of new statistical methodology as well as extensive experience with the use and application of SAS, Stata, R and Win Bugs. He teaches a course in advanced regression methods to graduate students in my department, a series of methods well-suited to the analytical issues in the project. He also teaches Introduction to Bayesian Biostatistics. With a demonstrated record of successful and productive research projects in areas highly related to the proposed approach, He fairly confident that his expertise and experience have prepared him to lead and realize the proposed project.

Areas of missing data, longitudinal data analysis, fMRI data analysis, mixture modeling and interprofessional research.

Rekab joined the University of Missouri in fall 2005 as a full Professor of Statistics and served as chairman of the Math-Stat department until 2007. Prior to joining UMKC, he was a Professor in both the Department of Computer Science and the Department of Mathematical Sciences at Florida Tech in Melbourne, FL. In 2001-2003, he was also a Senior Research Scientist in System Security at the USAF (United States Air Force) Research Lab (Office of Scientific Research). While on leave in 1999-2000, he was Chair and Professor in the Department of Mathematical Sciences at Cameron University, Oklahoma. While at Florida Tech, He received the College of Engineering's Faculty Excellence Award in research, and the third major team accomplishment from Sematech Center of Excellence. He has wide-ranging experience as an investigator and consultant in industrial statistics and medical statistics, and the statistical analysis of such topics as Infrasound Classifier Development, Sleep Apnea Avoidance, Sediment Flow, Neurological Responses of Stroke Victims, Mammography, Automated Testing, Cough Reflex, and Structural Bonding Processes, among others.

Biostatistics, microRNA analysis, DNA analysis, Intrusion detection, software testing, optimal designs, Reliability, Bayesian Inference.

Johanna Craig is a biologist with a varied and interesting career path that has led her to specialize in bioinformatics software tool design/development for viral genomes. She leads a matrixed team at her company, GATACA, which she co-founded in 2005. Her current research focus is designing analysis tools for tracking the mutations of the hepatitis C virus (HCV) to be used in academic, industry and clinical labs (HepCbase; NIH SBIR-funded).Additional projects include extending these tools to support other viruses (HIV, HBV Ebola, Influenza, etc), and small genomes of other taxa (mammalian, plant, bacterial, etc). The basic platform, OneGenomeBox can also be used as a genome-agnostic data management and exploration tool.

Her current research focus is designing analysis tools for tracking the mutations of the hepatitis C virus (HCV) to be used in academic, industry and clinical labs (HepCbase; NIH SBIR-funded)

Jung Wook Park is an Associate Director in Global Data Science, Astellas Pharma Global Development, Inc. Hisarea of interest is broadly on innovative approach to designing clinical trials in various phases such as Phase I, proof of concept, and pivotal study. He received his Ph.D. in Statistics from North Carolina State University (2005) under the direction of Dr. Marc Genton and Dr. Sujit Ghosh. During the graduate school period, he gained experiences on statistics in pharmaceutical industry by participating in Graduate Industry Traineeship program at Inveresk Research and GlaxoSmithKline. In 2005, he took the position of senior statistician in Clinical Pharmacology Statistics and Programming, GlaxsoSmithKline, RTP, North Carolina, and worked mostly on Phase I studies. He also supported an NDA submission by providing statistical service on clinical pharmacology studies. In 2010, he joined Global Data Science, Astellas Pharma Global Data Science Inc., Northbrook, Illinois, as senior manager biostatistician. The scope of his work covered from Phase I through Phase IV leading him to various research interests in pharmaceutical statistics. He presented a few research works at Joint Statistical Meeting. The topics included optimizing promising zone, distribution based 3+3 design, and surveillance study design using continuous monitoring boundaries.

Phase I trial design in Oncology, Design of Proof of Concept, Safety Surveillance study designs using continuous monitoring boundary, Design of pivotal trial with multi-arm and multiple endpoints, Missing data handling

Yanqiong Zhang is currently director of biostatistics at Vertex Pharmaceuticals, where she is leading several oncology compounds in the clinical development. She obtained her bachelor’s degree in statistics from University of Science and Technology of China in 1999 and received her Ph.D. in statistics from University of Maryland, Baltimore County in 2004. She has 11 years of clinical trial experiences with focus on oncology, rheumatoid arthritis, cardiovascular disease areas. She is a member of American Statistical Association since 2003 and has been actively participate in statistics conferences and communications since then. She served as the Philadelphia chapter officer from 2009-2010. She has broad spectrum interests in statistics research topics, such as Bayesian oncology trial designs, adaptive designs and multiplicity testing strategies. She had led the Bayesian dose finding working group in current company. Also, she had tackled many aspects of problems for randomization tests in sequential monitoring and explored asymptotic properties of unconditional and conditional tests. She has received many awards from the companies she had worked for, such as outstanding contribution awards from Vertex, research award from Sanofi, department/division excellence awards from Merck.

Lou received his Ph.D. from Zhejiang University, China, in 1997.  And then he was recruited as an Assistant Professor at Zhejiang University.  He came to the U.S. for pursuing postdoctoral training in the Department of Statistics, the University of Florida, in 2002.  He was a Research Associate and an Assistant Professor at the University of Virginia.  He joined UAB as an Associate Professor in 2009.  Dr. Lou's research interests include Statistical Genetics, Bioinformatics, Genetic Epidemiology, Biostatistics, and Population Genetics.  His research primarily concentrates on developing and applying powerful innovative analysis methods to solve real-world biological problems such as gene-gene and gene-environment interactions, low statistical power, and allelic heterogeneity in genetic data analysis.

Statistical Genetics, Bioinformatics, Genetic Epidemiology, Biostatistics, and Population Genetics

Yu is an associate professor in Biostatistics at the Louisiana State University Health Sciences Center.  She holds a PhD degree in Statistics from The Ohio State University, a Master of Arts degree in Management and a Bachelor of Arts degree in Economics from Wuhan University. She is a PhD advisor in biostatistics and teaches graduate biostatics courses including, but not limited to, Bayesian Analysis, Statistical Computation, Statistical Learning, Categorical Data Analysis, Sampling Methods, Longitudinal Data Analysis, and Biostatistics.  She has been a Principal Investigator for two NAACCR research awards and one state supported public health funding, a Co-investigator for many projects from institutes such as the National Institutes of Health, the National Institute of Alcohol Abuse and Alcoholism, the NIH Institute of Nursing Research, and Louisiana State University. Dr. Yu has published many articles on statistical methods and clinical research as leading or co-author. Dr. Yu’s current research involves the areas in multi-level analysis, Bayesian modeling, causal effect analysis, statistical learning, spatial analysis, and survey research.

Bayesian Modeling
Statistical Computation
Machine Learning
Spatial Analysis
Survey Data Analysis
Genetic Statistics
Adaptive Clinical Trial.

Andrae received his PhD in cognitive and quantitative psychology at the University of Nebraska-Lincoln. After a brief stint constructing psychometric interviews for a human resources company, he has worked in clinical research as a programmer and statistician since 2001. He has worked on over 100 clinical trials and represented several companies at FDA meetings. Due to increasing regulatory and industry interest in patient-reported outcome measures for clinical trials, His psychometric background has led him to specialize in the construction, validation, and analysis of such measures. Currently, He has experience in designing trials and analyzing data in many therapeutic areas, most recently for gastrointestinal disorders and infectious diseases.

Applied biostatistics, psychometric methods, item-response models, mixed-effects models, clinical trial design, latent variable models, patient-reported outcomes, and real-world data analysis.

Dr. Liu received his PhD in Biostatistics from Yale University in 2005. He then joined the faculty of the University of Alabama at Birmingham where he is currently an associate professor in the Department of Biostatistics. Dr. Liu has been working in the field of biostatistics and especially statistical genetics/genomics for many years. He dedicates in both methodology development and applied collaborate research. He has proposed novel statistical methods for haplotype analysis, for population structure/admixture inference, for doing structured association testing, and for genome-wide data and sequence data analysis. He also has extensive experience collaborating with researchers in different fields such as medicine, public health, dentistry, biology, nutrition, and genetics.

His research focuses on statistical genetics/genomics, bioinformatics, and clinical trials, including genetic linkage and association analysis, disequilibrium mapping, haplotype analysis, population genetics, genome-wide-association studies and next-generation sequencing data analysis, pharmacogenomics, risk prediction, personalized medicine, and integrative analysis of multiple types of omics data.

Sijin Wen is an Assistant Professor in the Department of Biostatistics in the School of Public Health at West Virginia University and the Director of Biostatistics Core Facility atMary Babb Randolph Cancer Center, West Virginia University Health Science Center.He previously was a Principal Statistical Analyst at MD Anderson Cancer Center. Dr. Wen had served as the primary statistical analyst on several NIH/NCI funded grants and clinical trials such as NCI Specialized Program of Research Excellence (SPORE) in prostate cancer. He has extensive skills with simulations for clinical trial designs and has participated in the design and analysis of numerous clinical trials, laboratory experiments and observational studies. His research includes adaptive designs, interim analysis for efficacy and toxicity in cancer clinical trials, disease recurrences, survival analysis, and various applied statistical problems. In addition, He is interested in analyzing gene expression data from microarrays, protein arrays or tissue arrays, using clustering algorithms and statistical modeling. His extensive contribution to statistical and cancer research has resulted in more than 100 published articles in statistical journals and cancer research journals.

Design and analysis of clinical trials, Bioinformatics, Joint modeling of disease recurrence and survival, Bayesian methods

Deng is currently the Senior Director of Biostatistics and Data Management in Grifols Inc. a leading global biotherapeutic and biotechnology company dedicated to the protein thearpies for treating diseases in immunology, neurology, pulmonary areas and bleeding disorders. He provided statistical and scientific guidance in conducting all phases of clinical trials; statistical consultation in clinical development program plans and submissions; and direction on study design and proto­col development. He has held various positions in academic and industry over last 20 years. He has authored or coauthored more than 50 publications in the area of clinical trials, statistical methodologies, and public health. He received his PhD in Biostatistics from University Of Cincinnati Medical Center, and his Medical Degree from Anhui Medical University in China, and Master’s in Public Health from Shanghai Medical University in China.

Design and analyses of clinical trials and in applying the traditional and innovative designs in clinical trials across multiple therapeutic areas.

The foundations for my scientific research consist of three primary domains. The first area of interest revolves around developing new and novel statistical tools, as well as developing cutting edge statistical theory. The second component consists of my collaborative work in applied statistics, biostatistics and epidemiology. The third key aspect of my research involves my effort towards organizing and participating in various research groups, which range from the inclusion of first year students to senior investigators. I will detail each of these three areas below.

Karan P Singh, PhD, is a Professor of Biostatistics in the Division of Preventive edicine in the UAB Department of Medicine at the University of Alabama at Birmingham (UAB) and Director of the UAB Comprehensive Cancer Center’s Biostatistics and ioinformatics Shared Facility (BBSF). He has over 25 years of experience in collaboration with investigators in inter- and multi-disciplinary and translational research on many NIH funded research projects involving longitudinal data analysis, and on projects with multiple variables requiring data reduction procedures. He has been PI on extramurally funded grants from funding agencies including NIH, NSF, HRSA and the Texas Department of Health. He has authored or co-authored over 200 peer-reviewed articles. He has also authored or co-authored numerous peer-reviewed congress proceedings, peer-reviewed book chapters and over 180 peer-reviewed abstracts. He has expertise and experience with organizing and collecting data, data cleaning and management, data analysis, as well as presentation and dissemination of statistical results. He has worked as core director or core biostatistician at various research centers. He has also served as Founding Chair of the Department of Biostatistics, Acting Chair of the Departments of Epidemiology, Health Management and Policy and Social and Behavioral Sciences, and Graduate Director of the Doctoral Programs in Public Health Sciences at the University of North Texas Health Science Center School Of Public Health.

Longitudinal data analysis, statistical computing, cancer modeling, survival methodology, clinical trials, and health services methodological research.

Shuguang Huang has 15 years of experience working in pharmaceutical and diagnostic companies, including Eli Lilly, Wyeth, Pfizer. Currently he is the department head of Bioinformatics at Precision Therapeutics Inc. His expertise includes (i) In-depth real-life expertise in assay development and validation that balances the scientific principles, clinical risks, regulatory requirements, and business restraints. (ii)years of experience in data mining and integrated/exploratory analysis using high-throughput assay technologies (e.g. microarray, NGS, GWAS, HCI, MALDI-MS). (iii) Statistical methodologies for trial designs and analysis that involves biomarker exploratory development and biomarker validation. (iv) Broad experience in various assay technologies and applications in various scenarios (drug development and biomarker assay development). (v) Statistical process control (SPC) in laboratory operations and product manufacturing. (vi) General statistical issues in drug discovery: target ID, HTS, design and analysis of in vitro and in vivo experiments, SAR, IND submission, and so on. He currently serves as a member for multiple CLSI guideline development committees.

(i) In-depth real-life expertise in assay development and validation that balances the scientific principles, clinical risks, regulatory requirements, and business restraints. (ii)years of experience in data mining and integrated/exploratory analysis using high-throughput assay technologies (e.g. microarray, NGS, GWAS, HCI, MALDI-MS). (iii) Statistical methodologies for trial designs and analysis that involves biomarker exploratory development and biomarker validation. (iv) Broad experience in various assay technologies and applications in various scenarios (drug development and biomarker assay development). (v) Statistical process control (SPC) in laboratory operations and product manufacturing. (vi) General statistical issues in drug discovery: target ID, HTS, design and analysis of in vitro and in vivo experiments, SAR, IND submission.

Fang Chen got her Ph.D in Biostatistics from the department of Biostatistics, University of Southern California in 2012. She has a B.S. in Biology from the College of Life Sciences, Peking University. Upon receiving her Ph.D degree, she started working as a statistician at a statistical consulting company based in Maryland. She is now Lead Statistician at BioStat Solutions, Inc. (BSSI) overseeing various pharmacogenomics (PGx) projects and actively leading and involving in Research and Development (R&D) effort, aiming at developing and evaluating cutting-edge statistical methods that can be applied to the frontiers of PGx research.

1) Investigating the impact of population structure in statistical analyses of multi-ethnic samples or admixed populations; 2) Statistical methodologies to detect gene by environment interaction; 3) Patient stratification based on biomarkers, including protein markers and genetic markers, which is geared towards precision medicine.

Steven Novick is a senior statistician with Arlenda, from which he supports all areas of non-clinical statistics from compound screening, to animal laboratory studies, to CMC/manufacturing problems.  He received his Ph.D. in statistics from North Carolina State University in 2000 under the direction of Dr. Leonard Stefanski.  Dr. Novick has over 15 years of experience, having worked previously for Schering-Plough (now Merck) and GlaxoSmithKline.  He is an active researcher with most publications in CMC and drug-combination.  As a member of the broader biostatistics community, Dr. Novick has given many talks, served as section chair to various conferences, and chaired the 2014 MBSW conference.

Non-clinical statistics problems, Bayesian statistics.

Beyene is an Associate Professor of Biostatistics and the John D. Cameron Endowed Chair in the Genetic Determinants of Chronic Diseases, Department of Clinical Epidemiology and Biostatistics, McMaster University. He received his BSc degree in Statistics from Addis Ababa University, Ethiopia, MSc in Statistics from the University of Guelph, Canada, and a PhD in Biostatistics from the University of Toronto, Canada. He established and directs the Statistics for Integrative Genomics and Meta-Analysis (SIGMA) research laboratory at McMaster University. He also involved in mentorship and supervision at various levels. His SIGMA lab currently trains several post-doctoral fellows; PhD and MSc-level graduate biostatistics and epidemiology students; undergrad students as well as research assistants.

Methodology development for evidence synthesis with application to public health sciences and clinical medicine;integrative statistical methods for high-dimensional data with emphasis on statistical genetics and genomics, and statistical methods for clinical trials and observational studies

Jurgen Pliz was Born 1951 in Langenau, Germany and he completed his PhD in Mathematical Statistics 1978 at Technical University Bergakademie Freiberg (TU BAF, Germany) and 1988 Doctor of Science degree (DSc., habilitation) in Mathematics at TUBAF, Germany. He served as Professor of Mathematical Geology at the Dept. of Geosciences of TU BAF, Germany. He is Humboldt Fellow at the Free University of Berlin, SFB Math. Geology and Geoinformatics. Since 1994 he is Professor and Chair of Applied Statistics at Alpen-Adria University (AAU), Austria. Also Since 2007 he is head of the newly established Department of Statistics at AAU. He has Guest Professorships at Purdue Univ. (West Lafayette, USA), Univ. of Copenhagen (Denmark), Charles Univ. Prague (Czech Rep.), Univ. of Augsburg (Germany), Univ. of British Columbia (Vancouver, Canada). He is author/co-author of six books; including "Bayesian Estimation and Experimental  Design in Linear Regression Models" published by  J. Wiley & Sons, New York,1991, “Interfacing Geostatistics and GIS”, published by Springer, 2009, and “Optimal Experimental Design with R”, published by Chapman and Hall/CRC, Boca Raton, 2011 and author of  more than 120 scientific papers. Also he is Associate Editor of the Springer Journal “Stochastic Environmental Research and Risk Assessment (SERRA)”, Member of the Editorial Board of  “Spatial Statistics” and “SOP Transactions on Statistics and Analysis”, Assoc. Editor of “Frontiers in Environmental Sciences, Section on Environmental Informatics”, Past Associate Editor of the statistics journals "Metrika" and "Journal of Statistical Planning and Inference". He is Elected Member of the International Statistical Institute (ISI) and the Institute of Mathematical Statistics (IMS), Member of the International Assoc. of Math. Geology (IAMG) and of the Austrian Statistical Society.

Bayesian Statistics, Spatial Statistics, Design of Experiments, Bayesian Epidemiology

Ezz H Abdelfattah has a theoretical experience in teaching statistics for both undergraduate and postgraduate students as he completed his Ph D in statistics (From UNC at Chapel Hill NC- UNC & Helwan Egypt). He has a wide applied experience in analyzing data using SPSS. He is an official trainer for the IBM-SPSS in the Middle East. He gave many training courses in different countries (Egypt - UAE - KSA – OMAN - Kuwait) for different areas (Biostatistics - Communications - Survey analysis - Quality – Data Mining other). He has experience in analyzing data using the data mining tool (Clementine) formal IBM-Modeler. He wrote 5 books for using SPSS, the last two entitled “The 1st step in Biostatistics using IBM-SPSS” and “BIOSTATISTICS for Health Students with Manual on Software application”, published in 2015.

Ilker ERCAN is a Professor of Biostatistics in the deparment of Biostatistics in the Medical Faculty at the Uludag University. He graduated from the Uludag University with Ph.D. and M.S. in biostatistics, and graduated from the Anadolu University with B.S. in statistics. He have experience in the analysis of several types of data sets. His related areas focused principally on statistical shape analysis and modern morphometry. He also has studies about reliability, allometry and growth models and biostatistics education. He has published many articles on statistical methods and clinical research as leading or co-author.

Statistical shapeanalysis, modern morphometryandreliablity.

WenJun Zhang is the professor in Sun Yat-sen University and International Academy of Ecology and Environmental Sciences. He is the president of International Society of Computational Ecology and International Society of Network Biology. He is the Editor-in-Chief of international journals, Proceedings of the International Academy of Ecology and Environmental Sciences (ISSN 2220-8860), Computational Ecology and Software (ISSN 2220-721X), Network Biology (ISSN 2220-8879), Arthropods (ISSN 2224-4255), and Environmental Skeptics and Critics (ISSN 2224-4263). He achieved his Ph.D. degree in epidemiology and modeling in Northwest A&M University. He has served as a postdoctoral fellow in epizootic modeling of vegetable insects in Sun Yat-sen University. He visited University of Arizona in 1996. He was a project scientist and postdoctoral fellow in mathematical ecology, working on ecological algorithms and computer programming, in International Rice Research Institute (IRRI) between 1997 and 2000. He has served as a senior research scientist, working on simulation model of insect-NPV-crop system in Wageningen University in 2002.

Network Biology, Biomathematics, Computational Science, Modeling, Ecology, Environmental Sciences.

Rama Shanker has completed his undergraduate, graduate, and Ph.D degrees from Patna University, Patna, India. He was awarded gold medal for standing first at the graduate examination of Patna University, Patna, India. He has been teaching various courses in Statistics to undergraduate and graduate students of Statistics and Biostatistics/Medical Statistics to graduate students of Biological sciences at Eritrea Institute of Technology, Asmara, Eritrea. Before joining Eritrea Institute of Technology, he worked at College of Business and Economics, Halhale, Eritrea and taught various courses of Statistics and Mathematics to undergraduate students of Management, Economics and Finance. He is the founding Editor-In-Chief of Eritrean Journal of Science and Engineering (EJSE) and is one of the Editorial Board members of some reputed journals published in U.S.A. He has many international publications in statistics and operations research related with distribution theory, statistical inference, reliability and survival analysis, Bayesian statistics, decision theory, biostatistics/medical statistics etc. He is the international advisory board members of some international journals published in India and reviewers of scientific research papers of many international journals. He has presented research papers in many national/international conferences.

Distribution Theory, Statistical Inference, Operations Research, Reliability and Survival Analysis, Bayesian Statistics, Biostatistics/Medical Statistics, Stochastic Processes, Decision Theory
 

Dr Ebrahim Ghaderi is an Assistant Professor in the Department of Epidemiology and Biostatistics, School of Medicine, Kurdistan University of Medical Sciences. He received his medical degree (M.D) in 2003 and completed PhD in Epidemiology at Shiraz University of Medical Sciences in 2013. He had been methodological consultant in over a hundred thesis or research projects. He is interested in epidemiological methods, social epidemiology, public health, surveillance system and bio-markers. He has received many honors to work at surveillance system in Iran. Also he has more than 50 published papers in scientific medical journals.

Social Epidemiology, Public Health, RCT, Bio-markers

Ilker ETIKAN is an  Associate Professor of Biostatistics in the department of Biostatistics in the Medical Faculty  at the Near East  University. I am graduated from the Hacettepe University with Ph.D. and M.S. in Biostatistics, and graduated from the  Hacettepe University with B.S. in Statistics.

Ilker Etakan is interested in the analysis of several types of data sets. I also studies about reliability. I have published many articles on statistical methods and clinical research as leading or co-author. I contributions in teaching, research and service include classroom teaching and designing graduate courses on current topics of Statistics and Biostatistics

Kewal Krishan is a forensic anthropologist and presently serving at Panjab University, Chandigarh, India. He published more than 90 research articles in Medical and forensic journals of repute. He is on the panel of editors and editorial board of more than 34 journals of international repute. He is also on the reviewer board of more than 42 national/international journals and reviewed more than 150 research articles. He contributed two invited chapters to the most coveted Encyclopedia of Forensic Sciences published by Elsevier, 2013. His research has been cited by more than 1000 studies in the scientific literature. He is a fellow of International Association of Law and Forensic Sciences and a member of 20international and national professional societies including Midwest Bioarchaeology and Forensic Anthropology Association (BARFAA), European Anthropological Association (EAA), American Association of Physical Anthropology, The Science Advisory Board USA, American Society of Forensic Podiatry (ASFP), National Academy of Sciences India (NASI), International Association of Identification (IAI), USA. He has been delivering lectures and regularly presenting his new research in forensic conferences in USA and Europe. He has also been awarded Elsevier Top Cited Award for an article in the Journal of Forensic and Legal Medicine. Recently awarded a Certificate of Excellence in Reviewing for the year 2013 by Elsevier and Journal of Forensic and Legal Medicine in recognition of the high quality work in peer reviewing and an outstanding contribution to the quality of the journal.

Forensic Anthropology, Forensic Osteology, Anthropometry, Forensic Podiatry

Ken Redekop is an associate professor at the Institute for Medical Technology Assessment, Erasmus University, Rotterdam, and The Netherlands. He is a clinical epidemiologist with more than 20 years of experience in observational research, clinical trial analysis, and medical technology assessment and has co-authored more than 100 papers in the medical literature. Recent studies include early-stage cost-effectiveness analyses of medical devices and tests, trial-based economic evaluations, economic evaluations in the Diagnostics Assessment programme of the National Institute for Health and Clinical Excellence (NICE, UK) and outcomes research studies to determine the effectiveness and cost-effectiveness of expensive medicines in daily practice. Most studies relate to diabetes, cardiovascular disease, and cancer, and most studies involve modelling and evidence synthesis.

Health technology assessment, cost-effectiveness analysis of diagnostic tests and medical devices, trial-based analysis, real-world cost-effectiveness analysis, evidence synthesis.

Herbert Thijs is Professor of Biostatistics at the Center for Statistics (CenStat) at Hasselt University. He received a M.S. degree in Mathematics (1997) from the University of Antwerp and received an IWT grant to prepare his PhD under the supervision of Prof. Dr. Geert Molenberghs within the field of missing data in longitudinal clinical trials. He obtained his doctoral degree in 2002 at Hasselt University. His research interests are, amongst others, missing data, mixed models, clinical trials, brain imaging, design of experiments and food quality. For several years he has coordinated the scientific collaborations between CenStat (as part of I-BioStat) and (external) third parties mainly including pharmaceutical companies but also governmental organizations of research institutions. Currently he is more active with respect to business development within the position of IOF manager. Finally Herbert Thijs is board member of the Belgian Statistical Society and member of the Quetelet Society, the American Statistical Association, the International Biometric Society and the Society for Neuroscience.

Amongst others, missing data, mixed models, clinical trials, brain imaging, design of experiments and food quality

Md. Mohsan Khudri has received B.S. and M.S. (Thesis) in Applied Statistics from the University of Dhaka. Currently he is working as an Assistant Professor at the Department of Business Administration of Uttara University, Bangladesh. He is performing the responsibility as BBA Program Coordinator in the same as well. He also worked as an adjunct faculty member in the School of Business Studies of Southeast University, Bangladesh. He has already published several research articles in international peer reviewed journals and proceedings. Apart from academic and administrative tasks, he also carries out some other scholarly activities. As part of that, he is working as an Associate Editor of Biometrics & Biostatistics International Journal published by MedCrave Group (USA). He is also working as an Editorial Board Member of Sustainable Agriculture Research published by Canadian Center of Science and Education (Canada) and ELK Asia Pacific Journals of Social Sciences (India). In addition, he works as a Reviewer in British Food Journal (Emerald), International Journal of Business and Social Research (USA), Mathematics (Switzerland) and Climate (Switzerland) published by MDPI (Switzerland). Furthermore, he has been keeping himself involved in consultancy and software training oriented tasks. He believes in continuous amelioration and appropriating the good mannerisms of others. Besides, he takes interest in gathering knowledge about the modern development in Statistics and familiarizing those ideas and applications of Statistics by means of enthusiastic and dynamic teaching.

Biostatistics; Environmental Statistics; Multivariate Statistical Analysis; Social Science; Stochastic Modeling; Econometrics; Poverty Analysis; Marketing Research

Anil is an independent Biostatistical Consultant. He received M.Sc. in Biometry from Pune University, India in 1976. He joined Haffkine Institute as a Biostatistician in 1976. He was deputed to Institute for Research in Medical Statistics, ICMR, New Delhi for course in ‘Statistical Techniques in Medical Research’ in 1980. After serving Haffkine for 30 years he joined Tata Consultancy Services as a Biostatistical Consultant and then Johnson and Johnson. He has been working as an independent  Biostatistical Consultant to various pharma companies and CROs. He is on the editorial committee as a Statistical Referee of various biomedical journals like The Journal of Obstetrics and Gynecology of India, Journal of Post Graduate Medicine, Neurology India.

Biostatistics
Statistical Programming (SAS 9)
PK/PD modeling (WinNonlin)
Clinical Trials (Phase I - III), BA/BE Studies and Pre-Clinical Studies (Toxicology)  NDA and ANDA Preparation including ISS/ISE
Quality Control/Quality Assurance