Wouter Van Amsterdam
Assistant Professor at UMC Utrecht
Utrecht, Netherlands
Summary
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Rockstar🎓
Top SchoolWouter Van Amsterdam is an assistant professor and data scientist with 11 years of experience at the intersection of statistics, machine learning, causal inference, and clinical medicine. Based at UMC Utrecht’s Julius Centre, he develops methodological and applied ML solutions to improve medical decision-making, especially in oncology, with experience across survival analysis, missing data, and high-dimensional image analysis. His background combines an MD and a PhD in medicine with a cum laude MSc in epidemiology and hands-on research stints at institutions including Courant/NYU and Dana-Farber, reflecting both strong theoretical grounding and practical clinical insight. Previously a senior research scientist at Babylon, he brings industry experience translating probabilistic models into healthcare products. Colleagues value his ability to bridge rigorous causal methods and real-world clinical problems, and he maintains active international collaborations born from his visiting research roles.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Medicine, Doctor of Philosophy - PhD, Medicine at Utrecht University-, Coursera online course: R Programming, With distinction, -, Coursera online course: R Programming, With distinction at Johns Hopkins Bloomberg School of Public Health
Github Skills (78)
probabilistic-programming10
mcmc10
pyro10
bayesian-inference10
optimisation10
cpu10
diffraction10
compilation10
probabilistic10
htmlwidgets9
python9
lifecycle9
pytorch9
machine-learning9
artificial-intelligence9
Programming languages (8)
Github contributions (5)
vanAmsterdam/vanamsterdam.github.io
May 2019 - Sep 2024
Contributions:20 PRs, 184 pushes, 26 branches in 5 years 5 months
templategithub-pages-templatemmistakesmistakesjekyll
vanAmsterdam/epi_stats
Oct 2017 - Jun 2018
Contributions:159 commits, 66 pushes, 3 branches in 7 months
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