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Biostatistics Training Program Directors and Faculty

Directors

  • Robert Tibshirani is Professor in the Departments of Statistics and Biomedical Data Science. He was a Professor at the University of Toronto from 1985 to 1998. In his work, he develops statistical tools for the analysis of complex datasets, most recently in genomics and proteomics. The recipient of numerous honors, Dr. Tibshirani was selected to receive the prestigious COPSS award in 1996 and was elected to the National Academy of Sciences in 2012. He also has coauthored five widely used books: Generalized Additive Models, An Introduction to the Bootstrap, The Elements of Statistical Learning: An Introduction to Statistical Learning and Sparsity in Statistics. He has a very strong training record, counting faculty at top-rated institutions among his students.

  • Richard Olshen is Professor of Biomedical Data Science and (by courtesy) of Electrical Engineering and of Statistics. He is chief of the Division of Biostatistics, one of three divisions of the Department of Health Research and Policy. Dr. Olshen is a co-inventor of CART technology and coauthor of the basic book, Classification and Regression Trees. His research has involved studies of longitudinal data, including those arising in gait analysis (regarding which he is coauthor of a basic text), cholesterol levels in human populations, renal physiology, and genetics. Recent efforts involve successive normalization of rectangular arrays of data, genome-wide association studies of mean arterial blood pressure, and strategies for treating certain patients with HIV/AIDS.

  • Chiara Sabatti is Associate Professor of Biomedical Data Science and of Statistics and is a member of Bio-X. Her research, awarded the NSF Career in 2003, is on statistical methods for the analysis of high-throughput genomic data, with special focus on understanding transcription regulation and the genetic basis of traits of interestshe has developed genome-wide searching tools to identify binding sites of transcription factors; she has been involved in research that attempts to correct for unknown population stratification and relatedness in genome-wide association studies. She was at UCLA from 2000 to 2009, rising in rank from assistant to full professor; while at UCLA, she was a mentor in four training grants, all dealing with quantitative methods for biology and genomics.

Faculty

This list is representative of a larger pool of faculty members who may be potential mentors for training program participants.