Mark Johannes van der Laan is the Jiann-Ping Hsu/Karl E. Peace Professor of Biostatistics and Statistics at the University of California, Berkeley. He has made contributions to survival analysis, semiparametric statistics, multiple testing, and causal inference.[4] He also developed the targeted maximum likelihood estimation methodology. He is a founding editor of the Journal of Causal Inference.
Mark van der Laan | |
|---|---|
| Born | Mark Johannes van der Laan 1967 (age 56–57) |
| Alma mater | Utrecht University (PhD) |
| Awards | COPSS Presidents' Award (2005) |
| Scientific career | |
| Fields | Statistics Biostatistics |
| Institutions | University of California, Berkeley |
| Doctoral advisor | |
| Doctoral students | |
| Website | statistics |
Education and career
editHe received his M.Sc. in mathematics in 1990 and his Ph.D. in statistics in 1993, both from Utrecht University. Between 1988 and 1989, Laan was studied as an exchange student at North Carolina State University. Laan's Ph.D. thesis was supervised by Richard D. Gill with a dissertation titled "Efficient and Inefficient Estimation in Semiparametric Models". During his Ph.D., Laan conducted research at the Mathematical Sciences Research Institute at the University of California, Berkeley, where he was advised by Peter J. Bickel.[2] Laan became an assistant professor in biostatistics at University of California, Berkeley in 1994, and was promoted to associated professor in 1998, and professor in 2000. He became the Jiann-Ping Hsu/Karl E. Peace Endowed Chair in Biostatistics. Since 2016, Laan became the academic director of the Center of Targeted Learning in Precision Health at University of California, Berkeley.[5]
Honors and awards
editHe received the COPSS Presidents' Award in 2005, the Mortimer Spiegelman Award in 2004, and the van Dantzig Award in 2005.[6][7]
Publications
edit- Van Der Laan, M.J.; Robins, J.M. (2003). Unified Methods for Censored Longitudinal Data and Causality. Springer Series in Statistics. Springer. ISBN 0-387-95556-9.
- Van Der Laan, M.J.; Rose, S. (2011). Targeted Learning: Causal Inference for Observational and Experimental Data. Springer Series in Statistics. Springer. ISBN 978-1-441-99781-4.
- Dudoit, S.; Van Der Laan, M.J. (2008). Multiple Testing Procedures with Applications to Genomics. Springer Series in Statistics. Springer. ISBN 978-0-387-49316-9.
References
edit- ^ Fan, Jianqing; Ritov, Ya'acov; Wu, CF Jeff, eds. (2012). Selected Works of Peter J. Bickel. Springer Science+Business Media. pp. xxxi–xxxiii. ISBN 9781461455448.
- ^ a b c Mark van der Laan at the Mathematics Genealogy Project
- ^ Pollard, Katherine Snowden (2003). Computationally intensive statistical methods for analysis of gene expression data. berkeley.edu (PhD thesis). University of California, Berkeley. OCLC 937442296. ProQuest 305339168.
- ^ "Presidents' Award: Past Award Recipients" (PDF). Archived from the original (PDF) on 1 July 2015. Retrieved 9 June 2014.
- ^ "Mark Johannes van der Laan CV" (PDF).
- ^ "Mark van der Laan, PhD, is Recipient of 2004 Spiegelman Award". Spring 2005. Archived from the original on 15 July 2014. Retrieved 9 June 2014.
- ^ "The Van Dantzig Award". Retrieved 2 June 2014.