Welcome to my website! I am an applied statistician and (pharmaco)epidemiologist with a special interest in advanced statistical methods for counterfactual causal inference and an emerging interest in machine learning.

From May 1st, 2021, I have taken on the the role of Tenure Track Assistant Professor of Precision Drug Therapy & Real World Evidence at the Groningen Research Institute of Pharmacy, University of Groningen. My intention is to continue my focus on dynamic treatment regimes and g-methods, but now from a pharmaceutical therapy angle. I am also very interested in learning about the intersection between statistical methodologies (especially in observational settings) and drug regulatory affairs. Before taking up this role, I was the Deputy Head of the Population Health laboratory of the Max Planck Institute for Demographic Research (MPIDR).

Some very good recent news is that we received a grant from the Dutch Medicines Evaluations Board (Dutch: College ter Beoordeling van Geneesmiddelen) to fund a joint PhD student on the topic of real world evidence for regulatory decision making. This grant will finance his research for the next 5 years. I am looking forward to this project!

BijlsmaMJ3Recently, I developed an R-package named cfdecomp that performs causal mediation analysis with the g-formula: you can find the official package on CRAN, and the bones of it on my Github page. This package is based on a working paper with Nikkil Sudharsanan. This paper has now been published in the International Journal of Epidemiology.

See the rest of this site for my CV, Publications, an archive of my blog posts, and my contact info.

Since I get asked questions about it: my surname comes from Frisian. If you don’t know how to pronounce it, following English orthography just say ‘Bell-sma’ or ‘Beel-sma’ (either way is fine).