Rongling Wu has received PhD in Quantitative Genetics, Currently working as Courtesy Professor of Statistics, University of Florida.

Statistical genetics, Statistical genomics, Systems biology, Computational biology, Functional data analysis, Longitudinal data analysis, Population genetics, Quantitative genetics, Developmental genetics, Evolutionary genetics, Mathematical biology, Genetic mapping of complex traits and biological processes, Multilocus linkage and linkage disequilibrium analysis, Growth and development modeling, Shape analysis, Image analysis, Pharmacogenetics, Pharmacogenomics, Cancer genomics, Plant genetics, Forest genetics.

Shein-Chung Chow, Ph.D. is currently a Professor at the Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina. Prior to joining Duke University, he was the Director of TCOG (Taiwan Cooperative Oncology Group) Statistical Center and the Executive Director of National Clinical Trial Network Coordination Center. Prior to that, Dr. Chow also held various positions in the pharmaceutical industry such as Vice President, Biostatistics, Data Management, and Medical Writing at Millennium Pharmaceuticals, Inc., Cambridge, MA; Executive Director, Statistics and Clinical Programming at Covance, Inc., Director and Department Head at Bristol-Myers Squibb Company, Plansboro, NJ; Senior Statistician and Research Statistician at Parke-Davis Pharmaceutical Division, Warner-Lambert Company, Ann Arbor, MI and Wyeth-Ayerst Laboratories, Rouses Point, NY. Through these positions, Dr. Chow provided technical supervision and guidance to project teams on statistical issues and presentations before partners, regulatory agencies or scientific bodies, defending the appropriateness of statistical methods used in clinical trial design or data analyses or the validity of reported statistical inferences. Dr. Chow identified the best statistical and data management practices, organizes and leads working parties for development of statistical design, analyses and presentation applications, and participated on Data Safety Monitoring Boards in clinical research and development.

Development of statistical design,analyses and presentation applications

Dr. Dongfeng Wu has received her PhD in Statistics in University of California, Santa Barbara during the period of 1995-1999. Currently, she is working as an associate professor and Master’s program director in University of Louisville. She is serving as an editorial member of several reputed journals like Journal of Modern Applied Statistical Methods. She has authored/coauthored more than 20 research articles/book chapters. She is a member of the American Statistical Association ASA and International Biometric Society-East North American Region ENAR.

Probability modeling and statistical inferences in periodic cancer screening, Bayesian inference, statistical decision theory, time series, wavelet regression, smoothing spline, etc.

Dr. Alosh has received his Ph.D in Mathematical Demography/ Biostatistics from the School of Hygiene and Public Health at the Johns Hopkins University during the period 1977-1981. He held positions of Assistant and Associate Professor in statistics at the College of Sciences, King Saud University, Riyadh, Saudi Arabia. Currently, he is an expert Mathematical Statistician and Biostatistics Team Leader at the Office of Biostatistics, Center of Drug Evaluation and Research at the U.S. Food and Drug Administration. He has successfully completed his Administrative responsibilities as team leader. He has authored over 40 research articles in refereed scientific journals dealing with integer-valued time series, modeling longitudinal data, handling missing data and addressing multiplicity issues in clinical trials. He served as co-editor of the Recent Development in Statistics and its Applications, King Saud University. He is a member of the International Biometric Society and a previous member of the American Statistical Association. He received several awards during his tenure at the FDA.

Multiplicity, Handling missing data, Modeling longitudinal data in clinical trials.

Dr. Meijuan Li received her PhD in biostatistics from the University of Minnesota in 2008. There, she worked with Dr. Cavan Reilly on developing statistical methods for genetic association studies and genomic studies. Currently, she is working as a mathematical statistician for the United States Food and Drug Administration in the Center for Devices and Radiological Health. During her career, Dr. Li has authored over 10 peer-reviewed research articles in the areas of statistical genetics, statistical genomics, Bayesian non-parametric survival data analysis, multivariate non-parametric Bayesian data analysis et al. She is a member of American Statistical Association and Eastern North American Region/International Biometric Society.

Her research interests include statistical methods for genetics, genomics, and diagnostic medicine. In particular, Dr. Li focuses on statistical methods for detecting, mapping, and isolating genes involved in complex diseases such as diabetes, obesity, and cancer. Through these methods, she hopes to provide targets for molecular and personalized medicine.

Haibo Zhou has received PhD in Statistics from the University of Washington, Seattle, Washington, 1992. Currently, he is working as Professor, Department of Biostatistics, University of North Carolina at Chapel Hill, North Carolina.

Environmental statistics, Outcome-dependent sampling, Survival analysis, Measurement error/missing data problems, Cardiopulmonary health, Toxicology risk assessment, Human fertility, Children’s developmental studies.

Weng Kee Wong has received PhD in Statistics 1990 from the University of Minnesota, Minneapolis-St.Paul. Currently he is working as Professor in department of Biostatistics, UCLA.

Applications to clinical trials and non-linear models, Construction of multiple-objective designs.

Dr. Mulugeta Gebregziabher has received his PhD from the University of Southern California in 2006. Currently, he is working as professor of Biostatistics at the Medical University of South Carolina. He has authored over 40 research articles. He is a member of the American Statistical Association and the International Biometric Society.

Dr. Gebregziabher’s research interests include developing methods for missing data, longitudinal data analysis and statistics in epidemiology such as case-control design and analysis. He has also interest in research topics related to health disparities, diabetes and cancer.

Prof. Faming Liang has received his PhD in the Chinese University of Hong Kong during the period of 1994-1997. Currently, he is working as Professor of Statistics in Texas AM University. He is serving as an editorial member of several reputed journals like Journal of the American Statistical Association and Journal of Computational and Graphical Statistics. He has authored more than 50 research articles. He is an elected member of ISI.

Markov chain Monte Carlo, Bioinformatics, Machine Learning, Geostatistics.

Xiaohua Douglas Zhang has received PhD from Carnegie Mellon University Pittsburgh, PA in statistics. Currently he is working as an Associate Director for Merck Research Laboratories.

Data analysis for high-throughput biotechnologies (including genome-scale RNAi screens, small molecule high-throughput screens, SNP and expression profiling), Effect size, Meta-analysis, Clinical trials, and Linear model.

Robert Paul Dellavalle has received PhD in Molecular Genetics Cell Biology from University of Chicago, Chicago,IL.Currently, he is working as an Associate Professor of Dermatology, University of Colorado Denver, School of Medicine.

Dermatology and Public health.

Qiong Yang has received PhD in statistics and she is currently working as an Associate Professor in Biostatistics, Boston University School of Public Health. Her main research interest is implementing and developing statistical methods for genetic studies. She works on several Framingham Heart Study projects, including linkage and association mapping of cardiovascular diseases or related quantitative traits such as lipids, Hemostatic factors, Kidney functions and women’s age at menopause.

Her interests in methodological development in statistical genetics include family-based association tests, Multiple testing problems, and Analysis of repeated measurements.

Dr.J.T.Efird completed his Doctorate in Epidemiology Biostatistics Concentration at Stanford University School of Medicine. Currently, he is an Associate Professor in the Department of Public Health, Brody School of Medicine, East Carolina University ECU and has a joint appointment as Epidemiologist/Chief Statistician in the Center for Health Disparities Research. Prior to joining ECU, Dr. Efird was Director of the Biostatistics Facility at the John A. Burns School of Medicine Honolulu, Hawaii and an Associate Member of the Cancer Research Center of Hawaii.

Dr. Efird’s research interests include statistical methods for gene-environment interaction, high-speed computational methods, and efficient sample size estimation for correlated data.

Dr. Eric D. Levens is currently serving as a Lieutenant Commander in the United States Public Health Services. He has appointments both as an assistant professor of obstetrics and gynecology and a staff clinician at NICHD at the Uniformed Services University of the Health Sciences both in Bethesda, Maryland.

Biostatistics.

Richard Charnigo has completed his PhD in Statistics at Case Western Reserve University. Currently, he is working as an Associate Professor at University of Kentucky.

Theory and methods for mixture modeling, Theory and methods for nonparametric regression and Functional data analysis, Applications in cardiology, Psychology, Engineering, Organizational behavior, and Public health.

Samiran Sinha has completed his PhD in Statistics from University of Florida. Currently, he is working as an Associate Professor, Department of Statistics, Texas AM University, College Station, Texas.

Complex sampling, Missing data, Measurement errors.

Noelle E. Fearn received her Ph.D. in Criminology and Criminal Justice from the University of Missouri, St. Louis in 2003. She is currently an Associate Professor of Criminal Justice at Saint Louis University. Her scholarly work has appeared in peer-reviewed outlets such as Crime Delinquency, Criminal Justice Studies: A Critical Journal of Crime, Law, and Society, the International Journal of Comparative Criminology, the International Journal of Offender Therapy and Comparative Criminology, the Journal of Criminal Justice, Justice Quarterly, and Social Justice Research. She has also authored Community Context and Sentencing Decisions: A Multilevel Analysis 2009 and co-edited Issues in Correctional Violence 2009.

Her current research focuses on the various factors that influence the decisions made in the criminal and juvenile justice systems. She has taught a variety of graduate and undergraduate courses in criminology and criminal justice, including statistics, theories of crime, and race, gender, class, and criminal justice.

Nengjun Yi has received PhD in Quantitative and Population Genetics, Nanjing Forestry University, China. Currently, he is working as an Associate Professor the Section on Statistical Genetics, Department of Biostatistics, University of Alabama at Birmingham.

Statistical methods of gene mapping for complex traits, Bayesian statistics and Markov chain Monte Carlo algorithms, Bayesian model selection, Hierarchical models, Statistical analysis of genetic data.

David Todem has received PhD in Statistics from University of Wisconsin-Madison. Currently, he is working as an Associate Professor in the Department of Epidemiology at Michigan State University.

The model that they “derive” is no more than what has traditionally been referred to as a two-stage or hurdle approach. Logistic regression is employed to model the occurrence of successes, and any other technique to model the distribution of the successes (conditional on their being such).

Longjian Liu has received PhD in Epidemiology University of Hong Kong. Currently he is working as an Associate Professor of Epidemiology and Biostatistics at Drexel University School of Public Health.

Longitudinal study design and data analysis, such as life table method, Cox’s proportional hazard regression analysis, Advanced biostatistics methods used in epidemiology. For example, classification of dietary patterns using principal component analysis, Factor analysis, Ranked regression analysis. Propensity score (a novel biostatistics method) for adjusting multivariate, Predicting models for real-world data.

Issa Zakeri received his PhD in Statistics from the University of Illinois at Urbana-Champaign. He was an Assistant Professor in the Department of mathematics at the University of Maryland, College Park, a visiting faculty member in the Department of Statistics at the University of North Carolina at Chapel Hill, a visiting scholar in the Department of Statistics at Stanford University, a faculty member in the Department of Pediatrics at Baylor College of Medicine, and he is now an Associate Professor in the Department of Epidemiology and Biostatistics at Drexel University. He likes working on applied and theoretical problems in statistics. He has methodological and applied research interests related to obesity prevention and stochastic modeling and prediction of energy expenditure, and have engaged in obesity prevention research at the biologic, clinical and community levels. He has extensive collaborative experience in behavioral, biological and medical sciences.

Biostatistics, Longitudinal Data Analysis, Time Series Analysis, Multivariate Statistical Analysis, Sequential Analysis, Applications of Statistical and Machine-Learning Methods.

Dr. Li has received his PhD in biostatistics from The University of Michigan, Ann Arbor, during the period of 1998-2003. Currently, he is working as an Associate Professor in the Department of Biostatistics at The University of Texas M.D. Anderson Cancer Center. He has authored 33 research articles/books. He is a member of the American Statistical Association, the International Biometric Society Eastern North American Region, the International Society for Bayesian Analysis, and the Society for Clinical Trials. He was accepted into Cambridge Who’s Who among Executives, Professionals and Entrepreneurs in 2009.

Mixed effects models, Bayesian non-parametrics, Adaptive clinical trial design.

Haitao Chu has completed his PhD in Biostatistics, Emory University. Currently he is working as an Associate Professor, Division of Biostatistics, University of Minnesota at Twin Cities.

Statistical methods for clinical trials, Vaccine efficacy studies and Epidemiological studies including missing data, Longitudinal data, Categorical data and Survival data analyses, and Bayesian methods in biomedical applications.

Dr. Chengjie Xiong is an Research Associate Professor of Biostatistics at Washington University School of Medicine. He has been a co-course master of the Genetic Epidemiology Master of Science (GEMS) program.

Statistical design of experiments and clinical trials, linear and nonlinear mixed models, longitudinal data analysis, survival analysis and reliability, categorical data analysis, order restricted statistical inferences, and their applications in medicine, biology, education, and engineering.

Yi-Ju Li, Ph.D., is an Associate Professor in the Department of Biostatistics and Bioinformatics at Duke University Medical Center.  Dr. Li is also a faculty member at the Center for Human Genetics, Duke University Medical Center.  Originally from Taiwan, she received her undergraduate degree in mathematics from Chung Yuang Christian University.  She then did her graduate work at North Carolina State University in Raleigh, NC, with Dr. Bruce Weir, a world-renowned statistical geneticist.  After receiving her Ph.D., Dr. Li completed a postdoctoral fellowship at Virginia Polytechnic University in Blacksburg, followed by additional training as a Research Associate at The Graduate University for Advance Studies in Hayama, Japan. Dr. Li is a statistical geneticist whose primary interest is statistical method development and its application to human genetic studies of complex diseases. Her research has focused on analyzing genetic and genomic data . Dr. Li and her collaborators have published several family-based association methods for quantitative trait and X-linked genes. Dr. Li also serves as an Associate Director for the Biostatistics Core at the Duke Translational Medicine Institute, where she works with a group of Biostatisticians and provides statistical consultation to clinical investigators at Duke University Medical Center.

statistical method development and its application to human genetic studies of complex diseases. Her research has focused on analyzing genetic and genomic data for identifying susceptibility genes for several human complex diseases including Alzheimer, Parkinson diseases, myopia, and Fuchs Dystroph.

Dr. Pang received his PhD in Biostatistics from Yale University in 2008. Currently, he is working as an assistant professor in the Department of Biostatistics and Bioinformatics at Duke University School of Medicine. He has served on cancer protocol committee at Duke Comprehensive Cancer Center, thesis committee for Clinical Research Training Program at Duke University Medical Center, and program committee for the Third International Conference on Biomedical Engineering and Informatics, and as a reviewer for nine statistics/biomedical journals. He has authored nine research articles/books. He is a member of American Association for Cancer Research, American Statistical Association, International Biometric Society, International Society for Computational Biology, and a fellow of the Royal Statistical Society.

Dr. Pang’s primary research interest in recent years has focused on classification methods and genomics. His expertise is on high dimensional data analysis and machine learning, including the design and analysis of biomarker and medical imaging clinical trials, high-throughput data analysis, pathway analysis for genomics data, shrinkage-based discriminate analysis, and software development. At Duke, he collaborates with researchers at the Clinical Anesthesia research division at Duke University School of Medicine, Duke University Comprehensive Cancer Center, and Duke Center for Human Genetics.

Dr. Liming Liang is a graduate from the University of Michigan, where he obtained the Doctor of Philosophy degree in 2009 under the mentorship of Dr. Gonçalo Abecasis. Dr. Liang majored in biostatistics and focused on statistical genetics. During his PhD training, Dr. Liang has been developing computational and statistical tools required for understanding human genetic variation, with a particular focus on complex human disease. Since 2009 after he graduated, Dr. Liang was appointed Assistant Professor of Statistical Genetics at the Department of Epidemiology and the Department of Biostatistics at Harvard School of Public Health. Dr. Liang is faculty member of the Program in Molecular and Genetic Epidemiology (PMAGE) and the Program in Quantitative Genomics (PQG) at the Harvard School of Public Health.

Analysis of gene expression and methylation data, particular eQTL/meQTL mapping
New statistical approaches for the analysis of next-generation sequencing data
New statistical framework to maximize the informativeness of multiple phenotypes and elucidate how genetic and epigenetic variants and their interaction with environmental factors involve in pathogenesis of complex diseases and traits
Statistical model to integrate genome-wide eQTL/meQTL data with genome-wide association studies

Dr. Jeffrey E. Korte has received PhD in medicine, currently working as Assistant Professor in college of medicine.

Cancer, Human papillomavirus, Drug addiction, Racial/ethnic disparities.

Dr. Wenge Guo has received his PhD in Biostatistics from University of Cincinnati during the period of 2004-2007. Currently, he is working as an Assistant Professor of Statistics at New Jersey Institute of Technology NJIT. Before joining NJIT, he ever worked as a Research Fellow at the National Institute of Environmental Health Sciences for two years. He has authored more than ten publications in some leading statistical journals inclining Annals of Statistics, Biometrika, Biometrics, and Statistica Sinica. His research is supported by National Science Foundation NSF grant. He is a member of American Statistical Association, Institute of Mathematical Statistics and International Chinese Statistical Association.

Multiple testing, High-dimensional inference, Biostatistics, Bioinformatics, Machine learning, Statistical methods for clinical trials.

Jiajia Zhang has received PhD in Biostatistics from Memorial University. Currently, he is working as an Assistant Professor in the Department of Epidemiology and Biostatistics, University of South Carolina, USA.

Survival models, Mixture cure models, Frailty models, Statistical computing, Semiparametric estimation methods.

Kyoungmi Kim has completed his PhD in Statistics from University of Kentucky, Lexington, KY. Currently, he is working as an Assistant Professor, Division of Biostatistics, Department of Public Health Sciences, and Rowe Program in Human Genetics, School of Medicine, University of California, Davis, CA.

Group sequential design, Multivariate statistics, Non-parametric statistics, Clinical trial designs.

Jihnhee Yu has completed her PhD in Statistics from Texas AM University, College Station, Texas. Currently, she is working as an Assistant Professor, Department of Biostatistics, SUNY at Buffalo, Buffalo, NY.

Group sequential design, Multivariate statistics, Non-parametric statistics, Clinical trial designs.

Yu Zhang has received PhD in Applied Mathematics from University of Southern California, Los Angeles, CA, USA. Currently, he is working as an Assistant Professor at the Pennsylvania State University, Department of Statistics.

Statistics and Computational Biology.

Lianming wang has received PhD in Statistics from University of Missouri, Columbia, USA. Currently he is working as an Assistant Professor, Department of Statistics, University of South Carolina.

Bayesian analysis, Survival analysis, Multivariate analysis, Multiple hypothesis testing, Longitudinal data analysis, Biomedical application.

Hui Xie is an Assistant Professor of Biostatistics, University of Illinois at Chicago. He has an MA in statistics from Purdue University and received Ph.D. in biostatistics from Columbia University. Before joining UIC, he was an Assistant Professor of biostatistics at Boston University and a research fellow at Harvard Medical School. He has authored/co-authored 26 research articles.

Missing Data Analysis, Longitudinal Data Analysis, Bayesian Methods.

Hui Tang has received PhD in Biostatistics from University of California, Berkeley. Currently she is working as an Assistant Professor at Mayo Clinic Medical School, Mayo Clinic, Minnesota.

Statistical methods on preprocessing, Data mining of high dimensional genomic data, and the integration with linkage and GWAS studies to discover and validate novel disease-causing loci, Prognostic biomarkers, and therapeutic targets. Specifically, these methods are: Regression and model selection, Bootstrapping, Randomized and adaptive designs in clinical trials, Weighted gene coexpression network analysis, Causal inference using structural equation model, and Survival analysis.

Ying Huang has received PhD in Biostatistics from University of Washington, Seattle, WA. Currently she is working as an Assistant Member at Fred Hutchinson Cancer Research Center.

Referee for Biometrika, Biometrics, Biostatistics, Statistics in Medicine, Epidemiology, American Journal of Epidemiology, Journal of Statistical Planning and Inference, Biometrical Journal, Journal of Clinical Epidemiology, Bioinformatics and Biology Insights.

Xuefeng Liu has received PhD in Statistics from the University of Florida. Currently he is working as an Assistant Professor, Department of Biostatistics and Epidemiology, East Tennessee State University, Johnson City, TN 37614.

Bayesian statistics, computational statistics; Repeated measures models, Latent variable models, Latent class/trait models, Multi-level models; Covariance models, Missing data models; MCMC algorithms, Algorithm development; Design and analysis of clinical trials; Statistical methodologies for epidemiology, Genetics, Cardiovascular disease, Kidney function, Diabetes, Hypertension, Cancer, etc.

Dr. Bo Cai has received his PhD in The University of Auckland during the period of 2000-2003. Currently, he is working as an Assistant Professor in University of South Carolina. He has successfully completed his administrative responsibilities as an appointed journal reviewer for a number of reputed journals. He is also serving as an editorial member of journal of Intelligent Information Management. He has authored more than 20 research articles. He is a member of the American Statistical Association and the International Biometric Society.

Bayesian variable selection, nonparametric modeling, multivariate survival analysis and mixture models. Computational statistics, Markov chain Monte Carlo methods, sampling methods based on Markov chain. Application areas: environmental health, child health, epidemiology and human reproductive study.

Chiu-Hsieh Paul Hsu has received PhD in Biostatistics from University of Michigan. Currently, he is working as an Assistant Professor TE, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, Arizona.

Survival analysis, Missing data and Modeling cancer data.

Dr. Antai Wang received his PhDdegree in statistics from University of Rochester and is experienced in the development of statistical methods for biomedical data and their applications.   Dr. Wang is now an Assistant Professor of Clinical Biostatistics working in the Department of Biostatistics and Herbert Irving Comprehensive Cancer Center of Columbia University.
 

Longitudinal data analysis, clinical data analysis, survival analysis and Microarray analysis

Kesheng Wang has received PhD in Population Genetics and Biostatistics from the University of Goettingen, Goettingen. Presently he is working as an Assistant Professor, Department of Biostatistics and Epidemiology, College of Public Health, East Tennessee State University, Johnson City, TN, USA.

Genetic epidemiology/Statistical genetics, Genome-wide linkage and association studies of complex diseases, Fine mapping and re-sequencing of loci relevant to susceptibility and outcomes, investigation into the causal gene variants; Development and application of statistical methods in analysis of clinic, gene expression and genotypic data, linkage analysis and association studies for binary and quantitative traits as well as survival data; Detection of gene-gene and gene-environment interactions of complex diseases; Identification of disease subtypes and subgroups; Statistical methods in QTL/gene mapping in animal models of complex diseases; Statistical Population genetics; Statistical methods in application of genetic markers (microsatellite, SNPs, DNA sequences and copy number variations) for estimation of genetic variation, detection of natural selection and recombination hot spot, inference of haplotype and population stratification as well as population history; Population genetic analysis of natural populations, structural variation and gene expression profiling; development and application of methods based on the coalescent theory; Biostatistics; Application of multivariate methods for analyzing multivariate phenotypic data; Statistical methods using linear and non-linear mixed models; Survival analysis in human samples and animal models.

Duchwan Ryu has received his Ph.D. in Statistics at Texas AM University, College Station, Texas. He is currently working as an Assistant Professor at the Department of Biostatistics in Georgia Health Sciences University.

Every statistical issue has attracted my interests while I have enjoyed working on several institutes and a bank, where statistical approaches take key roles in decision making. Especially, Bayesian nonparametric models, population controlled particle filter in dynamic models, measurement error, the areas of uncertainty quantification, and longitudinal measurements draw my attention.

Song Wu received PhD in Statistics from the University of Florida. Currently he is working as an assistant professor in the Department of Applied Mathematics and Statistics at the State University of New York at Stony Brook.
 

Statistical genetics & genomics; Next-generation sequencing data analysis; Gene network and pathway analysis; Longitudinal data analysis and functional data analysis

Saonli Basu has acquired PhD in Statistical Genetics track, Department of Statistics, University of Washington, Seattle, WA. Currently, she is working as an Assistant Professor in University of Minnesota.

Statistical genetics, Genetic epidemiology, Computational statistics, Nonparametric inference.

Dr. Arindam Roy Choudhury is an Assistant Professor of Biostatistics in the Division of Statistical Genetics, Department of Biostatistics at Columbia University Medical Center. He received PhD in Statistics Statistical Genetics Track from University of Washington, Seattle 2002-2006. He was a post-doc at Harvard University 2006-2008 and Cornell University 2008-2009. He joined Columbia University as an Assistant Professor of Biostatistics in the year 2009. He has independent work on linkage analysis, association studies, population genetics, and analysis of SNP data. He has been working on applications of likelihood-based methods on these fields. He also has collaborative works on psychiatric and neurological disorders.

Statistical genetics, Stochastic modeling, Bioimaging data, Composite likelihood.

Jing Ning has received PhD from Johns Hopkins University, Baltimore, Maryland in Biostatistics. Currently she is working as an Assistant Professor, Division of Biostatistics, School of Public Health.

Univariate and multivariate survival analysis, Nonparametric and semiparametric models for multiple event data and Length-based data, Longitudinal analysis, Design and analysis of clinical trials.

Matthew J. Hayat has completed his PhD Medical College of Wisconsin. Currently working as Biostatistics Consulting Service, Center for Nursing Research, School of Nursing, Johns Hopkins University, Baltimore, MD.

Study design; Distinguishing between statistical significance and clinical importance; Statistics education; Bayesian statistics; Longitudinal data analysis; Statistical reporting; Chinese medicine; CAM.

Recai Yucel is working as an Assistant Professor of Biostatistics in the Department of Epidemiology and Biostatistics within the School of Public Health of University at Albany, SUNY. Following his doctoral training at the Pennsylvania State University, he did a postdoctoral fellowship at the Department of Health Care Policy, Harvard Medical School. He worked previously as a statistical advisor at the Institute for Health Policy at the Massachusetts General Hospital and Harvard Medical School. During this time, he was awarded a fellowship by the American Statistical Association and the National Center for Health Statistics to develop and disseminate methods for handling item non-response in complex sample surveys. He also taught at the Department of Biostatistics at the University of Massachusetts, Amherst.

His research on missing data in complex data structures and on measurement error is largely motivated by methodological issues in health services research and prevention research. Some of his other research topics include computational algorithms and software development, hierarchical and latent variable models, models and methods for response errors and applied Bayesian statistics.

Dr. Rui Wang received her PhD from Harvard University in 2008. Currently, she is an Instructor in Medicine Biostatistics at Harvard Medical School. She has been a statistical reviewer for the Journal of Allergy and Clinical Immunology since 2008. She has authored 25 research articles/books.

Nonparametric methods, Design and analysis of clinical trials, Subgroup analysis, Survival analysis, Meta-analysis; HIV incidence estimation.

Yuanyuan Liang has completed PhD in Statistics from University of Alberta Edmonton, Alberta, Canada. Currently she is working as an Assistant Professor, Department of Epidemiology and Biostatistics, University of Texas Health Science Center at San Antonio UTHSCSA, Texas, USA.

Conducted methodological research in the area of meta-analysis for systematic reviews, Provided statistical advice and support for ARCHE/EPC team members, Conducted data management, including development and implementation of electronic data management systems, Participated in research projects including: grant writing and budget preparation; question development; protocol development; project execution; report writing; manuscript preparation;dissemination (publications, presentations, etc.).Supported students, residents, fellows with the coordination of their projects; Participated in peer-reviews, committee work, workshop organization, Presented research at conferences and meeting.

Song Zhang has received PhD in Statistics from University of Missouri, Columbia. Currently he is working as an Assistant professor, University of Texas Southwestern Medical Center.

Bayesian hierarchical models, Spatio-temporal modeling for disease mapping, Longitudinal and Survival data analysis, Gene network, Pathway analysis, High-throughput data analysis (microarray, proteomics), Psychometrics, IRT model, Clinical trial design.

Aiyi Liu received his PhD in Statistics, 1997, University of Rochester, USA. Currently he is Senior Investigator at Division of Epidemiology, Statistics and Prevention Research DESPR Eunice Kennedy Shriver National Institute of Child Health and Human Development NICHD, National Institutes of Health, USA.

General statistical theory and methods, Sequential and adaptive methods in clinical trials and biomedical research, Linear models and regression analysis, Multivariate data analysis and related topics, Statistical methodology for diagnostic biomarkers (ROC curve analysis; methods for pooled biospecimens; evaluation of measurement errors; limit of detection and left truncation) Semiparametric and nonparametric methods.

Dr. Honghong Zhu received her Ph.D. in Epidemiology from Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA and completed M.Sc. in Environmental Toxicology Molecular Medicine, Clemson University, Clemson, SC, USA and M.H.S. Master Degree of Medicine in Occupational Diseases and Health Sciences, Zhejiang University, Hangzhou, China and also completed M.D. in Preventive Medicine/Public Health, Zhejiang University, Hangzhou, China. 20 years designing and conducting epidemiologic studies and using biostatistics methods in epidemiology and other fields in public health. Use the STATA, SAS, SPSS, R and other programs for data analysis and data management. Consultant as both epidemiologist and biostatistician for physicians and other researchers for years. Editing and reviewing research articles for other researchers and journals.

Epidemiologic Methodology; exposure and health outcome assessment and epidemiologic study design; translating and applying biostatistics methods in epidemiology; developing new statistical analysis strategy for epidemiologic research to solve important public health issues.

Melody received her B.S. in applied mathematics-statistics and economics (double major) from Stony Brook University (SBU) where she was a Minority Access to Research Careers (MARC) National Institutes of Health (NIH)Fellow. In 1999, she received the Provost Award for Academic Excellence, graduated from the SBU Honors Collegeand was inducted into the SBU chapter of Phi Beta Kappa. In 2003 she received her M.S. in biostatistics from the Harvard School of Public Health where she was an Initiative for Minority Student Development (IMSD/NIH) Fellow.In 2006 Melody received her Ph.D. from the Department of Biostatistics at HarvardUniversity with minors in theoretical statistics and the social determinants of health disparities. She was a National Institute of Child Health and Human Development NIH Minority Pre-doctoral Fellow.  Her doctoral work focused on statistical methods for community-based cancer interventions and health disparities research.  She is currently an Assistant Professor of Surgery, Division of Public Health Sciences at Washington University in St. Louis School of Medicine.

Statistical methods for community-based cancer interventions
Health disparities research.

Dr. Leping Li received his Ph.D. from the University of North Carolina in 1994. He is a Principal Investigator in the Biostatistics Branch at the National Institute of Environmental Health Sciences, NIH. Dr. Li serves as an Editorial Board member for the Journal of The Indian Society of Agricultural Statistics. Dr. Li has authored or coauthored nearly 60 articles in peer-reviewed journals such as Bioinformatics, BMC Bioinformatics, J. of Comput. Biol., Nat. Struct. Biol., Genes Dev. and Genome Res.

Dr. Leping Li′s research focuses on statistical methods and applications for identifying transcription factor binding sites in DNA sequences and methods for analyzing large-scale ChIP-seq data from the next-generation sequencers. He has developed several software packages implementing his methods, including GADEM and fdrMotif. Dr. Leping Li′s research interests also include pattern recognition, data mining and classification.

Dr. Qianxing Mo received his PhD from Lehigh University in 2006. Currently, he is working as a Research Biostatistician in the Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center. He has authored sixteen research articles/book chapters. He is a member of the American Statistical Association ASA.

Statistical genomics, Bayesian biostatistics, Computational statistics, Bioinformatics.

Statistical and computational method for physiologically based pharmacokinetics modeling
Drug-drug interaction prediction
Literature mining on pharmakinetics data
Multiple aspects of bioinformatics and computational biology, including NGS analysis, GWAS etc.

Dr. Yuanjia Wang received a PhD in Statistics from the Department of Statistics at Columbia University. She is now an Assistant Professor in the Department of Biostatistics at Mailman School of Public Health, Columbia University. She is also a core member of the Division of Biostatistics at the New York State Psychiatric Institute.

Nonparametric and semiparametric modeling.
Reduced-rank smoothing, genetic association analysis with longitudinal phenotype.
Developing statistical methods for psychiatric research.

Zuoheng Wang is an assistant professor in the Biostatistics division at Yale University.  She received her doctorate degree in statistics from the University of Chicago in 2009.  She has published more than 15 papers in reputed journals and served as an editorial board member of Frontiers in Genetic Architecture.

Research focuses on the development of statistical and computational methods to address problems in genetics, in particular, the identification of genes contributing to common complex diseases.  Another research area of interest involves using next-generation sequencing data for detection of rare variants

Grace Y Yi has received PhD in Statistics University of Toronto, Canada. Currently, she is working as Professor in the Department of Statistics and Actuarial Science, University of Waterloo.

Longitudinal data analysis, Survival data analysis, Missing data, Measurement error estimating functions, Parametric and nonparametric regression survey methodology, Statistical methods and applications.

Wenqing He has received PhD in Statistics University of Waterloo, Canada. Currently, he is working as Associate Professor in the Department of Statistics and Actuarial Science, Canada.

Survival data analysis
Correlated data analysis
Missing data and measurement error models
Semiparametric and nonparametric regression
Analysis of high dimensional genetic data
Data mining
Statistical computing
Statistical methods and applications

Prof. Keumhee Chough Carriere has received her PhD from the University of Wisconsin-Madison, USA during the period of 1985-1989. Currently, she is working as Professor at University of Alberta, Edmonton, Canada. She has successfully completed her Administrative responsibilities as Associate Chair and currently is the Director of Biostatistics Research Group and the Training Consulting Centre, University of Alberta. She is serving as an editorial member of such reputed journals as Statistical Methods in Medical Research and Journal of Modern Statistical Analysis, and past Editor for special issue in Statistics in Medicine. She has authored over 90 research articles/books. She is a member of Statistical Society of Canada, American Statistical Association ASA, and International Biometric Society. She has received such honors as Fellow ASA, Scientist with Alberta Heritage Foundation for Medical Research, Mentor of the Year 2005, among others.

Design and analysis of repeated measures data; Construction of optimal designs; Multiple imputation techniques for missing data; Multivariate Behrens-Fisher problems; High-dimensional data analysis; Small area variation analysis techniques with special application to public health research.

Dr. Morita has received his Ph.D. in Biostatistics from the School of Public Health at The University of Tokyo in 2003. Currently, He is working as Professor of Biostatistics and Epidemiology in Yokohama City University Graduate School of Medicine and University Medical Center. His research interests include Bayesian statistics and clinical trial design. Over the course of his career, he has designed over 70 clinical trials in oncology and other areas. He has published over 100 research papers and book chapters in the statistical and medical literature. He has served as a director for Biometric Society of Japan, an advisory expert for The Pharmaceutical and Medical Devices Agency PMDA, a biostatistical advisor for Japan Surgical Society, an associate editor for Surgery Today, an editorial board member for the Journal Gastric Cancer, and a reviewer board member for Japanese Journal of Clinical Oncology.

Bayesian statistical methods, Clinical trial design, and Adaptive decision making in clinical trials.

Tony Hsiu-Hsi Chen has received PhD in Division of Biostatistics from National Taiwan University.Currently working as Adjunct Professor, School of Public Health, University of Tampere, Finland.

The primary interest of Professor’s Chen academic research on biostatistics is “Applied Stochastic Process”, whereby various stochastic processes were formulated to modeling multi-state outcome research with non-Bayesian and Bayesian method in recent years. These stochastic modeling underpinnings have been used to do evaluation of health intervention programs, including population-based cancer and chronic disease screening (main track) and also some infectious disease processes. His interest has been further extended to decision theory on cost-effectiveness and cost-benefit analysis of health intervention program. He also translated these modeling processes into computer-aided software for tutorial purpose.

Prof. Mariano J. Valderrama has completed his PhD in Mathematics. Currently, he is working as Professor, Department of Statistics and Operations Research, Faculty of Pharmacy, University of Granada, Spain.

Functional data analysis, but also second order stochastic processes and regression.

Liuquan Sun has received PhD in Statistics from Peking University, Beijing, China. Currently, he is working as Professor, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China.

Biostatistics, Interval-censored survival data analysis, Longitudinal data analysis, Statistical analysis of data with Informative censoring, Applied statistics and statistical computation, Survival Analysis.

Moore Lynne R has received PhD in Epidemiology Trauma from Laval University, Canada. Currently, he is working as an Assistant professor biostatistics in the department of Medecine sociale et preventive Medecine at Laval University, Canada.

Health sciences, applied and health services delivery, Statistics and probability, Epidemiology, Medical sciences, Clinical (other), Health sciences, Applied and health Services delivery, Health sciences, Applied and health services delivery, Health services evaluation, Biostatistics, Mortality/Morbidity, Trauma/Burns/Wounds, Prevention and treatment evaluation, Health care delivery.

Dr. Gregory Pond is an Assistant Professor in the Department of Oncology with an Associate Appointment with the Department of Clinical Epidemiology and Biostatistics. Dr. Pond received his Ph.D. in Biostatistics from the University of Toronto and earlier received degrees from Simon Fraser University and Brock University. Having previously worked at the Mayo Clinic, Princess Margaret Hospital and in industry, Greg joined the OCOG team in 2008. He has co-authored over 90 peer-reviewed publications and is accredited as a Professional Statistician by the Statistical Society of Canada. Since 2006, he has also been a faculty member at the annual ECCO-AACR-ASCO Methods in Clinical Cancer Research workshop in Flims, Switzerland. Dr. Pond’s research interests are primarily in cancer clinical trial methodology.

Biostatistics, Clinical trial methodology, Statistical design in oncology.

Jiguo Cao has received PhD in Statistics, 2006 from the Department of Mathematics and Statistics, McGill University, Montreal, Canada. Currently he is working as an Assistant Professor Department of Statistics Actuarial Science, Simon Fraser University, Burnaby, BC, Canada.

Functional and Longitudinal data analysis, Statistical genetics, Statistical inference for dynamic models.

Christiane Guinot has received PhD in Biomathematics from the University Denis Diderot of Paris in 1982, and her Habilitation in computer sciences from the University of Tours in 2003. From 1982 to 1986, she took two Post-doctoral positions in Medical Statistics and Epidemiology at the Gustave-Roussy, Institute in France and at the Showa University School of Medicine in Japan where she acquired a speciality diploma in Cancer Epidemiology. In 1986, she started working for an international pharmaceutical group and headed Biostatistical departments. In 1991, she contributed to the creation of the CERIES, a private research centre on human skin. Since this date, she is in-charge of the Biometrics and Epidemiology department. She is also researcher in the Computer Sciences laboratory of the University Francois Rabelais of Tours since 2002. Up to now, she has authored more than one hundred research articles and book chapters. She was elected President of the Societe Francaise de Statistique French Association of Statisticians, 2005-2008. She was also elected a member of the International Statistical Institute ISI in 2002. In addition, she is serving as an editorial member of the Journal de la Societe Francaise de Statistique. She is also serving as a peer reviewer for several reputed statistics and biomedical journals, such as Statistics in Medicine and British journal of Dermatology.

High dimensional data analysis and related topics, Classification methods, Genetic association studies, Statistical methods applied in epidemiology, Statistical methods applied to medical research, Intra and inter-observer agreement methods, Visual data mining methods for interactive data exploration, Knowledge discovery methods.

Causal inference in clinical trials and observational studies

Anders Berglund is a Biostatistician and Epidemiologist, with 6 years of work experience. He has a strong knowledge in medical research, foremost in cancer epidemiology and a network with collaborations in Europe.

Planning phase of studies, Statistical consultant, Teaching in medical research, Preparation of Manuscripts Centre.

José Antonio Roldán Nofuentes has received PhD in Statistics from the University of Granada (Spain). Currently, he is working as an Associate Professor of Biostatistics, Department of Statistics (Biostatistics), School of Medicine and School of Health Sciences, University of Granada, Spain

Statistical methods in medical diagnostics
Evaluation of binary diagnostic tests
Comparison of parameters of two o more binary diagnostics tests
Verification bias in the evaluation or comparison of binary diagnostic tests
Weighted kappa coefficient of a binary test: evaluation and comparison

Simon is a public health medicine specialist and emerging researcher with experience in the varied fields of: diabetes and cardiovascular disease epidemiology from administrative health records; clinical trials of novel smoking cessation products; mathematical models of viral transmission; injury prevention; capture-recapture techniques to estimate disease prevalence; carbohydrate addiction and adverse health effects. He enjoys teaching and has previously taught basic epidemiological methods at conferences and workplaces. He has a strong mathematical background and is able to independently undertake data analysis. This is combined with solid past clinical experience in the field of Adult Medicine.

Diabetes and cardiovascular disease epidemiology from administrative health records,mathematical models of viral transmission

Tiejun Tong has completed his Ph.D. in Statistics at University of California at Santa Barbara UCSB, California USA. Currently, he is working as an Assistant Professor of Statistics, University of Colorado.

Nonparametric regression methods, Shrinkage estimation, Gene expression microarray data analysis, Multiple testing with false discovery rate control, Classification methods, Asymptotic statistics/probability.

Dr. Murat Sarioglu has received his PhD from Istanbul Technical University during the period of 2007. Currently, he is working as Principal Process Engineer and researcher at Montgomery Watson Harza MWH consulting engineers. He has successfully completed his Administrative responsibilities as Principal Process Engineer/Researcher. He is serving as a peer reviewer for several reputed journals like Journal of Membrane Science and Water Science and Technology. He has authored 19 research articles/books. He is a member of the Water Environment Federation, International Water Association, and Turkish Chamber of Environmental Engineers. He has honored as 2000 Outstanding Intellectuals of the 21st Century, by the International Biographical Center in Cambridge, England.

His research interests include : Nutrient removal in membrane bioreactors, Simultaneous nitrification and denitrification (SNdN) in membrane bioreactors, Mass transfer limitation in membrane bioreactors, Water reuse using microfiltration, ultrafiltration and reverse osmosis, Treatment of brine resulting from brackish water RO plants downstream of activated sludge plants, Enhanced anaerobic digestion using thermal hydrolysis and pressure.