Greg Henselman-petrusek is a postdoctoral researcher and data scientist specializing in topological data analysis (TDA), with a decade of experience bridging formal theory, algorithms, and software implementation. Based at the Centre for Topological Data Analysis at Oxford and formerly a Swartz Fellow at Princeton Neuroscience Institute, he develops explainable spatial models for complex systems including neural encoding and brain image analysis. Greg’s work focuses on foundational questions in TDA—model selection, verification, and computational feasibility—bringing mathematical rigor from his PhD in Electrical and Systems Engineering and an M.Sc. in Mathematics. He combines theoretical depth with practical tooling, producing methods that make TDA interpretable and computationally tractable for applied scientists. Based in Salem, Oregon, he brings an uncommon blend of pure-math perspective and hands-on data-science practice to problems at the intersection of geometry, computation, and explainable AI.
9 years of coding experience
Master of Science (M.Sc.), Mathematics, Master of Science (M.Sc.), Mathematics at University of Oregon
Doctor of Philosophy (PhD), Electrical and Systems Engineering, Doctor of Philosophy (PhD), Electrical and Systems Engineering at University of Pennsylvania
Contributions:2 PRs, 4 pushes, 2 branches in 6 months
javapython
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Greg Henselman-petrusek - Postdoctoral Research Associate