Dr. Mark Van Der Laan

Biography

Mark van der Laan is a distinguished professor in the Department of Statistics at the University of California, Berkeley. His research specializes in developing statistical methods for causal and non-causal parameter estimation in complex high-dimensional data settings, including randomized clinical trials and observational studies. He focuses on the scrutiny of model assumptions and aims to provide valid methods for statistical inference in longitudinal and cross-sectional studies. Professor van der Laan's innovative approach addresses challenges in dealing with censoring and missing data, which are often prevalent in medical research and survival analysis contexts. He has collaborated widely with biologists, medical researchers, and epidemiologists to refine these methods, enhancing the robustness and objectivity of statistical testing procedures. His contributions have had significant impacts on the field of statistics and its applications in practical research settings.

Research Interests