Eugene Palovcak
Computational Structural Biologist
Doylestown, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolEugene Palovcak is a computational structural biologist with nine years of experience applying quantitative, machine-learning, and biophysical methods to understand and scale protein structure determination. He currently builds infrastructure for high-throughput structural biology at Generate Biomedicines, after leading a small research team at Invitae that developed ML-driven approaches for clinical genetics. His PhD work in Yifan Cheng’s lab at UCSF combined hardware innovation (graphene-supported cryo-EM grids) with modern computer-vision pipelines, and earlier research produced first-author papers on long-range statistical models of ion channel evolution. Eugene is drawn to hard, open-ended problems and blends experimental sensibility with production-minded algorithm development, making him as comfortable designing microscopes as deploying models on large internal datasets. Based in Doylestown, PA, he brings a rare mix of hands-on lab engineering, computational rigor, and strategic thinking about where ML can transform structural biology.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Biochemistry, Bachelor of Science - BS, Biochemistry at Temple UniversityDoctor of Philosophy - PhD, Biophysics, Doctor of Philosophy - PhD, Biophysics at University of California, San Francisco
Github Skills (12)
approximate7
neighbors7
locality-sensitive-hashing7
kd-tree7
lua6
python6
nearest-neighbors6
disk5
golang5
approximate-nearest-neighbor-search4
cpp4
nearest-neighbor-search3
Programming languages (1)
Github contributions (5)
eugenepalovcak/restore
May 2019 - Dec 2019
Contributions:33 commits, 52 pushes, 1 branch in 6 months
eugenepalovcak/blobnet
Nov 2019 - Nov 2019
Contributions:8 pushes, 1 branch in 4 days
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