Dr. Lin is Dennis Gillings Distinguished Professor of Biostatistics and Member of the Lineberger Comprehensive Cancer Center at the University of North Carolina at Chapel Hill. Dr. Lin is an internationally-recognized leader in survival analysis and statistical genetics with 20 years of experience in cancer research, currently focused on pharmacogenomics in cancer.
Eric Laber received his PhD in Statistics from the University of Michigan in 2011 and subsequently joined the Statistics Department at North Carolina State University. His research focuses on using randomized or observational data to inform complex decision problems in healthcare and ecology.
Dr. Cai is Cary C. Boshamer Distinguished Professor and Vice Chair of Biostatistics at the University of North Carolina at Chapel Hill. Dr. Cai is Co-Director of the Biostatistics Service of North Carolina Translational and Clinical Sciences Institute at the University of North Carolina at Chapel Hill and directs the methodology component within that service. Her expertise is in design and analysis of clinical trials and observational studies, longitudinal and survival data analysis, analysis of correlated responses, and missing data/measurement error methods.
Dr. Ibrahim is Alumni Distinguished Professor of Biostatistics, Professor of Statistics and Operations Research, and Member of the Lineberger Comprehensive Cancer Center at the University of North Carolina at Chapel Hill. Dr. Ibrahim's areas of research focus are Bayesian inference, missing data problems, clinical trials, and cancer genomics, and is Project Director/Principal Investigator of two NIH grants for developing statistical methodology related to cancer and genomics research. Dr.
Dr. Owzar is Professor of Biostatistics and Bioinformatics at Duke University School of Medicine, Director of Bioinformatics at the Duke Cancer Institute, and Director of Biostatistics for the Radiation Countermeasures Center of Research Excellence at Duke. His research is focused on the development of statistical methods and computational tools for investigating the role of heritability on cancer drug induced adverse events. Dr.
Dr. Davidian is William Neal Reynolds Professor of Statistics and Coordinator for the Chancellor's Faculty Excellence Program's Personalized Medicine Discovery Faculty Cluster at North Carolina State University, and is Adjunct Professor of Biostatistics and Bioinformatics at Duke.
Dr. Kosorok is W. R. Kenan, Jr. Distinguished Professor and Chair of Biostatistics, Member of the Lineberger Comprehensive Cancer Center, and Professor of Statistics and Operations Research at the University of North Carolina at Chapel Hill. Dr. Kosorok is also Director of the Biostatistics Service of the North Carolina Translational and Clinical Sciences Institute. His expertise is in biostatistical methods for clinical trails and data mining and machine learning tools for high dimensional biomedical data, with a focus on cancer applications.
Dr. Holloway is trained as a theoretical physicist, having received her Ph.D. from the University of Illinois at Urbana-Champaign in 2004. She served as a Post-doctoral Research Associate and a Staff Scientist in the Theoretical Division of Los Alamos National Laboratory. Throughout her education and career, Dr. Holloway’s research interests focused on developing and implementing sophisticated numerical models of complex fundamental processes.
Dr. Wang is Associate Professor of Biostatistics and Bioinformatics at Duke University. In the past ten years, he has been involved in the design and analysis of cancer clinical trials and translational studies in the Alliance. He serves as Associate Director of Biostatistics and the lead statistician for the Respiratory Committee of the Alliance. Dr. Wang’s methodological research is focused on the development of novel statistical methods for biomarker-integrated cancer clinical trials and for analyzing data from multiple sources subject to lack of generalizability and selection bias.
