Michael R. Kosorok, PhD
His research expertise is in biostatistics, data science, machine learning and precision medicine, and he has written a major text on the theoretical foundations of these and related areas in biostatistics (Kosorok, 2008, Springer) as well as co-edited (with Erica E. M. Moodie, 2016, ASA-SIAM) a research monograph on dynamic treatment regimes and precision medicine.
He also has expertise in the application of biostatistics and data science to human health research, including cancer and cystic fibrosis. In particular, he is the contact principal investigator on an NCI program project grant (P01 CA142538), which focuses on statistical methods for novel cancer clinical trials in precision medicine, including biomarker discovery and dynamic treatment regimes. He has pioneered machine learning and data mining tools for these and related areas.
Honors and Awards
2016, American Association for the Advancement of Science
2015, Institute of Mathematical Statistics
2007, Institute of Mathematical Statistics
2006, American Statistical Association
Honored Alumni, College of Physical and Mathematical Sciences
2004, Brigham Young University
Principles of Statistical Inference (BIOS 600), Fall 2015
Advanced Probability and Statistical Inference I (BIOS 760), Fall 2008, 2010, 2012, 2014 and 2017
Empirical Processes and Semiparametric Inference (BIOS 791), Spring 2008, 2010, 2012, 2014 and 2016
Biostatistics, Data Science, Machine Learning, Precision Medicine
2015-present, Associate Editor, Journal of the Royal Statistical Society, Series B
2011-present, Associate Editor, Journal of the American Statistical Association, Theory and Methods
2004-present, Associate Editor, Annals of Statistics
2005-2014, Associate Editor, International Journal of Biostatistics
2007-2009, Associate Editor, Electronic Journal of Statistics
2007-2009, Associate Editor, Probability and Statistics Letters
2007-2009, Associate Editor, Statistics Surveys
DATA SAFETY MONITORING BOARDS:
1999-2006, U.S. Cystic Fibrosis Foundation, Data Safety Monitoring Board
2001-2006, U.S. National Institute of Child Health and Human Development, Chair, Intramural Data Safety Monitoring Board
2003-2009 University of Wisconsin Postpartum Depression Treatment Study, Chair, DSMC
2004-2005 GlaxoSmithKline Study CKA20001, DSMC
NATIONAL AND INTERNATIONAL COMMITTEES (non-DSMC):
2016-present, COPSS Awards Committee
2011-2017, BMRD Study Section, National Institutes of Health
1997-2002, U.S. Cystic Fibrosis Foundation, Clinical Research Committee
Staff/Administrative Duties2006-2016, 2017-present, Chair of Department of Biostatistics
2008-present, Director of NC TraCS (CTSA) Biostatistics Core
Served on numerous student thesis committees for the Department of Biostatistics and for other departments
Personalized dose finding using outcome weighted learning (with discussion and rejoinder). G. Chen, D. Zeng, M.R. Kosorok (2016). Journal of the American Statistical Association, 111(516), 1509-1547.
Reinforcement learning trees. R. Zhu, D. Zeng, M. R. Kosorok (2015). Journal of the American Statistical Association, 110(512), 1770-1784.
Biclustering with heterogeneous variance. G. Chen, P. F. Sullivan, M. R. Kosorok (2013). Proceedings of the National Academy of Sciences, 110(30), 12253-12258.
Estimating individualized treatment rules using outcome weighted learning. Y. Q. Zhao, D. Zeng, A. J. Rush, M. R. Kosorok (2012). Journal of the American Statistical Association, 107(499), 1106-1118.
Reinforcement learning strategies for clinical trials in non-small cell lung cancer. Y. F. Zhao, D. Zeng, M. A. Socinski, M. R. Kosorok (2011). Biometrics, 67(4), 1422-1433.
MM, Music Composition, University of Wisconsin-Madison, 1999
PhD, Biostatistics, University of Washington, 1991
MS, Biostatistics, University of Washington, 1991
MS, Statistics, Brigham Young University, 1988
BM, Music Composition, Brigham Young University, 1988