Eugene Klyshko
ML Scientist II at Grove Biopharma
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolEugene 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
10 years of employment as a software developer
UMass LowellDoctor of Philosophy - PhD, Biophysics, Doctor of Philosophy - PhD, Biophysics at University of TorontoMaster's degree, Applied Physics and Mathematics, Master's degree, Applied Physics and Mathematics at Moscow Institute of Physics and Technology (State University) (MIPT)
Github Skills (11)
ml-project10
python9
dub9
hal7
fourier-transform6
jekyll6
move5
genomics4
bioinformatics4
dynamics4
python-scripts4
Programming languages (4)
Github contributions (5)
klyshko/MT
Sep 2015 - Feb 2022
Program that implements assembling and disassembling of microtubules
Contributions:103 commits, 1 PR, 90 pushes in 6 years 5 months
haldub
klyshko/md_python
Feb 2019 - Mar 2022
The repository with the tutorial on how to run MD simulations in python
Contributions:18 commits, 19 pushes, 1 branch in 3 years 1 month
python
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