Jordy Davelaar is a Senior Data Scientist with eight years of experience applying machine learning and high-performance simulation to both retail decision systems and frontier astrophysics. He develops production-ready AI models that improve demand forecasting and pricing while also creating novel simulation and radiation-transport models for black hole accretion and binaries. His career spans prestigious fellowships (NASA Hubble, Simons Flatiron) and academic posts where he built ML-driven tools like MLody and discovered new observational signatures used to identify black hole binaries. Comfortable moving between industry and academia, he combines scalable engineering at BCG X with deep computational physics expertise honed at Princeton and Columbia. Jordy’s work uniquely bridges commercial impact and fundamental science—translating plasma- and radiation-focused simulations into algorithms that solve real-world forecasting problems. Based in New York, he pairs a PhD in astrophysics and a track record of high-performance simulation with a knack for mentoring and science communication.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Astrophysics, Doctor of Philosophy - PhD, Astrophysics at Radboud University
Contributions:48 pushes, 5 branches in 1 year 7 months
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