Mark van der Laan, Ph.D.

Publications

Zachary Butzin-Dozier; Yunwen Ji; Sarang Deshpande; Eric Hurwitz; A. Jerrod Anzalone; Andrew Mertens, Ph.D.; Mark van der Laan, Ph.D.
Journal Article, 2024
Wenxin Zhang; Aaron Hudson; Maya Petersen, M.D. Ph.D.; Mark van der Laan, Ph.D.
Journal Article, 2024
David McCoy, Ph.D.; Wenxin Zhang; Alan Hubbard, Ph.D.; Mark van der Laan, Ph.D.; Alejandro Schuler, Ph.D.
Journal Article, 2024
Anders Munch; Thomas A. Gerds; Mark van der Laan, Ph.D.; Helene C. W. Rytgaard
Journal Article, 2024
David McCoy, Ph.D.; Alejandro Schuler, Ph.D.; Alan Hubbard, Ph.D.; Mark van der Laan, Ph.D.
Journal Article, 2023
Job title: 
Professor of Biostatistics
Department: 
Biostatistics and Statistics
Bio/CV: 

Mark van der Laan is the Jiann-Ping Hsu/Karl E. Peace Professor of Biostatistics and Statistics at the University of California, Berkeley. He graduated in 1993 under supervision of Richard Gill at the Utrecht University in the Netherlands. He started a position in Biostatistics in 1994 and has been at UC Berkeley since. He has made contributions to survival analysis, semiparametric statistics, multiple testing, censored data and causal inference. He also developed the targeted maximum likelihood methodology and general theory for super-learning. He is a founding editor of the Journal of Causal Inference and International Journal of Biostatistics. He has authored 4 books on targeted learning, censored data and multiple testing, authored over 300 publications, and graduated 55 Ph.D students. He received the COPSS Presidents' Award in 2005, the Mortimer Spiegelman Award in 2004, and the van Dantzig Award in 2005, among various others.

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