Thomas Klausch


Assistant Professor
Department of Epidemiology and Data Science
Amsterdam University Medical Centers, location VU Univeristy
Amsterdam, The Netherlands


Personalised Medicine and Prevention

I am an Assistant Professor at the Department of Epidemiology and Data Science of Amsterdam University Medical Centers. My research focuses on methodology for personalized medicine and prevention. In particular, I have applied and developed statistical models and machine learning tools to estimate treatment effect heterogeneity from observational data, optimal treatment regimens, and models for personalized (cancer) screening. A special interest of mine are techniques for Causal Inference, on which I coordinate a yearly Winter School class in the Amsterdam UMC Masters in Epidemiology program.


I hold a PhD degree in survey methodology and statistics. During my PhD and post-doctoral experience, I have worked at statistics departments of Utrecht University and the Dutch national bureau of statistics, Statistics Netherlands (2010-2015). In this time, I have focused on the estimation and adjustment of errors in statistics based on population surveys, such as errors due to non-response (missing data) and measurement error. For my PhD thesis I received the Van Zwet award (2015) by the Dutch Society for Statistics and Operations Research. Subsequently, I have been a post-doc at Amsterdam UMC, Department of Epidemiology and Biostatistics from 2016-2019, and an Assistant Professor since 2019.