Summary
Eugene Klyshko is an ML Scientist with a PhD in Biophysics and 11 years of cross-disciplinary experience applying computational physics, molecular simulations, and machine learning to biotech and healthcare problems. He has built novel simulation methods and ML analysis tools for protein structure and peptide design—bridging classical and quantum approaches—and translated that work into industry roles at startups and biopharma. His background spans computer vision for medical imaging, time-series and 3D geometry projects, and production-focused ML research, reflecting both deep theory and applied engineering. Known for clear scientific communication and mentoring, he also contributes to fast-turnaround consulting projects across modalities, demonstrating an unusual ability to move from GPU-accelerated simulation code to deployed diagnostic models. Located in Toronto, he combines academic rigor with product-minded execution to tackle societally impactful problems in health and life sciences.
11 years of coding experience
4 years of employment as a software developer
UMass Lowell
Doctor of Philosophy - PhD, Biophysics, Doctor of Philosophy - PhD, Biophysics at University of Toronto
Master's degree, Applied Physics and Mathematics, 8.5/10, Master's degree, Applied Physics and Mathematics, 8.5/10 at Moscow Institute of Physics and Technology (State University) (MIPT)