Summary
Jonathan Zwart is a Lead Data Scientist based in Oxford with 11 years in industry and two decades of research experience originating in radio astronomy and observational cosmology. He specializes in Bayesian methods, computer vision and machine learning, building novel statistical algorithms in Python to extract faint signals from complex, noisy data streams. His background includes designing multi-million-pound telescopes and publishing 60+ papers, giving him deep expertise in signal processing, systematic error control, and large-team scientific engineering. At startups and research institutions alike he translates rigorous statistical thinking into production-ready solutions for experimental planning and automated analysis. Colleagues rely on him for creative problem-solving that bridges fundamental science and practical data products.
11 years of coding experience
8 years of employment as a software developer
PhD, physics, observational cosmology, radio astronomy, PhD, physics, observational cosmology, radio astronomy at University of Cambridge
French