Rutger Van Haasteren
Research Group Leader at Max Planck Institute for Gravitational Physics (Hannover)
Netherlands
Summary
👤
Senior🎓
Top SchoolRutger Van Haasteren is a Research Group Leader and data scientist with 13 years of experience combining astrophysics and advanced computational methods to tackle hard inference problems. He holds a PhD in theoretical physics/astrophysics and has driven Bayesian and sampling-method innovations for pulsar timing and gravitational-wave detection at leading institutions including JPL, Caltech, the Max Planck Institute and Leiden. Rutger blends deep scientific rigor with industry-scale data practice from an extended Microsoft data science role, translating large, messy datasets into strategic insights. He is particularly skilled at designing creative probabilistic solutions and bringing research-grade algorithms into operational settings. Based in the Netherlands, he excels at bridging frontier research and practical machine-learning deployments in teams that span academia and industry.
13 years of coding experience
11 years of employment as a software developer
PhD, Theoretical Physics / Astrophysics, PhD, Theoretical Physics / Astrophysics at Leiden University
English, Dutch
Github Skills (81)
python10
operation10
scientific-computing10
sketchup10
crossword10
scipy10
pint10
algorithms10
jax9
mcmc9
inference9
pulsar9
arxiv9
flask8
bayesian-inference8
Programming languages (11)
Github contributions (5)
nanograv/fastshermanmorrison
Apr 2023 - Feb 2026
Fast code to do ShermanMorrison calculations as needed by PTA ecorr Kernel models
Contributions:21 releases, 6 PRs, 60 pushes in 2 years 10 months
conda-forge/ptmcmcsampler-feedstock
Apr 2024 - Oct 2025
A conda-smithy repository for ptmcmcsampler.
Contributions:1 review, 3 PRs, 2 pushes in 1 year 6 months
conda
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