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!
Recently, 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.
Since I get asked questions about it: my surname comes from Frisian. A ‘Bijl’ is an axe or a hatchet, and ‘ma’ comes all the way from Old Frisian (probably) meaning ‘of the people of’. If you don’t know how to pronounce it, following English orthography just say ‘Bell-sma’ or ‘Beel-sma’ (either way is fine).