Wessel B
Research Lead at University of Cambridge
Utrecht, Utrecht, Netherlands
Summary
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Rockstar🎓
Top SchoolWessel B is a machine learning researcher with 12 years’ experience applying probabilistic modelling and time-series methods to environmental and energy systems. He holds a PhD and MPhil in Machine Learning from the University of Cambridge and has led research at Microsoft, Invenia Labs and now at The Alan Turing Institute and Cedalion Capital, bridging foundational ML for Earth system modelling with practical forecasting and quantitative strategy development. His work focuses on end-to-end environmental forecasting, multi-output time series, and probabilistic approaches that quantify uncertainty in complex spatio-temporal systems. Wessel combines academic depth with industry impact—translating research prototypes into market-facing tools for electricity markets and investment signals. Based in Utrecht, he brings a rare mix of theoretical rigour and hands-on engineering from earlier electrical engineering roots at TU Delft’s Solar Boat project. He is approachable and collaborative, inviting conversation and code exploration via his GitHub.
12 years of coding experience
10 years of employment as a software developer
PhD, Machine Learning, PhD, Machine Learning at University of CambridgeBSc (Hons), Electrical Engineering, BSc (Hons), Electrical Engineering at Delft University of Technology
English, Dutch
Github Skills (114)
python10
mcmc10
deep-learning10
foundation-models10
bayesian-inference10
multiple-dispatch10
parallel-processing10
dispatch10
finite-difference10
julia10
conda10
gaussian-processes10
documentation-generator10
probabilistic-models10
bayesian-statistics10
Programming languages (7)
Github contributions (5)
wesselb/catalogue
Oct 2016 - May 2021
Contributions:15 pushes, 1 branch in 4 years 7 months
wesselb/wbml
May 2018 - Dec 2022
Machine learning stuff
Contributions:23 releases, 265 commits, 1 PR in 4 years 7 months
machine-learning
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