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Michael Kosorok - UNC-Chapel Hill. Chapel Hill, NC, US

Michael Kosorok Michael Kosorok

W. R. Kenan Distinguished Professor and Chair of Biostatistics; Professor of Statistics and Operations | UNC-Chapel Hill

Chapel Hill, NC, UNITED STATES

Dr. Kosorok's research focuses on big data and machine learning, as it applies to improving healthcare.

Biography

Michael R. Kosorok, PhD, is W. R. Kenan, Jr. Distinguished Professor of Biostatistics and Professor of Statistics and Operations Research at UNC-Chapel Hill.

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.

Accomplishments (5)

Honorary Fellow (professional)

2016, American Association for the Advancement of Science

Medallion Lecturer (professional)

2015, Institute of Mathematical Statistics

Honorary Fellow (professional)

2007, Institute of Mathematical Statistics

Honorary Fellow (professional)

2006, American Statistical Association

Honored Alumni, College of Physical and Mathematical Sciences (professional)

2004, Brigham Young University

Education (4)

University of Wisconsin-Madison: MM, Music Composition

University of Washington: PhD, Biostatistics

University of Washington: MS, Biostatistics

Brigham Young University: BM, Music Composition

Courses (3)

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

Articles (5)

Personalized dose finding using outcome weighted learning (with discussion and rejoinder) Journal of the American Statistical Association (2016)

G. Chen, D. Zeng, M.R. Kosorok

111(516), 1509-1547.

Reinforcement learning trees Journal of the American Statistical Association (2015)

R. Zhu, D. Zeng, M. R. Kosorok

110(512), 1770-1784

Biclustering with heterogeneous variance (2013) Proceedings of the National Academy of Sciences

G. Chen, P. F. Sullivan, M. R. Kosorok

110(30), 12253-12258.

Estimating individualized treatment rules using outcome weighted learning Journal of the American Statistical Association (2012)

Y. Q. Zhao, D. Zeng, A. J. Rush, M. R. Kosorok

07(499), 1106-1118

Reinforcement learning strategies for clinical trials in non-small cell lung cancer Biometrics (2011)

Y. F. Zhao, D. Zeng, M. A. Socinski, M. R. Kosorok

67(4), 1422-1433

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