Jurgen Van Gael
CTO & Board Member, Stripe Payments UK Ltd
Cambridge, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolJurgen Van Gael is a CTO and board member at Stripe Payments UK with 16 years of experience building large-scale payments and ML-driven systems across Stripe, Facebook, Google and Microsoft. He combines deep academic credentials (PhD in Machine Learning, Cambridge) with hands-on engineering leadership, having launched major payout rails, Open Banking integrations and cross-EMEA teams. Previously he led ML and auction-ranking efforts at Facebook and automated bidding and TensorFlow-based modeling at Google, blending production systems with applied research. An active contributor to Math.NET Numerics, he has implemented and tested core statistical distributions and measures, showing a penchant for rigorous numerical methods rarely visible in senior execs. Jurgen is known for hiring and scaling distributed teams across time zones while keeping product development tightly coupled to data-driven research. Based in Cambridge, he brings a rare mix of probabilistic programming pedigree and practical payments infrastructure experience.
16 years of coding experience
13 years of employment as a software developer
Master Informatics, Master Informatics at KU LeuvenMaster of Science Computer Science, Master of Science Computer Science at University of Wisconsin-MadisonPhD Machine Learning, PhD Machine Learning at University of Cambridge
French, Dutch, English
Github Skills (11)
unit-testing10
csharp10
stat10
distributions10
statistic10
dotnet-core10
math9
probability-theory9
mathematics9
beta-distribution8
mcmc6
Programming languages (2)
Github contributions (5)
mathnet/mathnet-numerics
Jul 2009 - Sep 2011
Math.NET Numerics
Role in this project:
Backend Developer & Data Scientist
Backend Developer & Data ScientistContributions:121 commits in 2 years 2 months
Contributions summary:Jurgen contributed to the Math.NET Numerics library, implementing and refining statistical distributions, specifically the Normal distribution and its related functions. They added partial implementations for the Normal and Erf distributions, including cumulative distribution and probability functions. Their work also involved integrating unit tests for various functions and statistical methods, such as the Skewness, Entropy and Mode of different probability distributions.
mathnetfsharpmatrixroot-findingstatistics
jvangael/notes
Jan 2021 - Feb 2021
Contributions:6 pushes, 1 branch in 1 month
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