Grisha Szep is a researcher and computational scientist with nearly a decade of experience at the intersection of biomedical research, machine learning and software engineering. He holds a PhD in Computational Biology and Machine Learning from King’s College London and a BS in Theoretical and Mathematical Physics from UC Berkeley, blending rigorous theory with practical engineering. His expertise spans geometric deep learning, differential equations, signal processing and performance optimisation for large-scale data, applied to AI-integrated healthcare and education systems. Based in Chiyoda, Japan, he collaborates with open-endedness teams at the Artificial Life Institute and runs GSzep Research, offering bespoke AI workflows across London, Cambridge and Tokyo. Passionate about equitable cognitive cyberware, he combines creative vision with hands-on research to translate complex math and modelling into deployable systems. An active practitioner of computational science and art, he brings an uncommon artistic sensibility to technically demanding problems.
9 years of coding experience
Bachelor of Science - BS, Theoretical and Mathematical Physics, GPA 3.7, Bachelor of Science - BS, Theoretical and Mathematical Physics, GPA 3.7 at University of California, Berkeley
Doctor of Philosophy - PhD, Computational Biology and Machine Learning, Doctor of Philosophy - PhD, Computational Biology and Machine Learning at King's College London
Contributions:2 PRs, 10 pushes, 3 branches in 6 years 5 months
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