Ellen Zhong
Assistant Professor at Princeton University
New York, New York, United States
Summary
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Senior🎓
Top SchoolEllen Zhong is an Assistant Professor of Computer Science at Princeton University whose work sits at the intersection of machine learning and structural biology, with a particular focus on protein structure determination from cryo-electron microscopy. She developed cryoDRGN during her MIT PhD, a neural method for reconstructing dynamic 3D protein structures, and interned with the AlphaFold team at DeepMind, bridging cutting-edge ML with real-world structural biology. Prior to academia she built algorithms and infrastructure at D. E. Shaw Research for predicting protein–small molecule binding free energies, contributing to drug discovery workflows. Her background in chemical engineering and statistical mechanics informs a rare combination of domain expertise and ML foundations, enabling principled modeling of molecular systems. Ellen runs the ml-struct-bio lab on GitHub, translating research code into reusable tools that accelerate structural biology research. Based in New York, she brings eight years of experience translating deep technical innovation into impactful biological insight.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Computational and Systems Biology, Doctor of Philosophy - PhD, Computational and Systems Biology at Massachusetts Institute of TechnologyThomas Jefferson High School for Science and TechnologyB.S., Chemical Engineering, B.S., Chemical Engineering at University of Virginia
Github Skills (6)
evolution7
modeling5
glossary5
machine-learning4
jekyll1
github-pages1
Programming languages (3)
Github contributions (5)
ml-struct-bio/cryodrgn
Nov 2018 - Jan 2023
Neural networks for cryo-EM reconstruction
Contributions:10 releases, 54 reviews, 912 commits in 4 years 2 months
reconstructioncryo-emneural-networks
zhonge/cryodrgn_empiar
Dec 2020 - Feb 2021
Contributions:2 releases, 13 commits, 1 push in 1 month
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