Ellen D. Zhong
Email: zhonge [at] princeton.edu
Office: 314 Computer Science
I am an Assistant Professor of Computer Science and the Principal Investigator of the E.Z. Lab for Molecular Machine Learning at Princeton University. We are interested in problems at the intersection of AI and structural biology. In particular, our group focuses on developing methods for image analysis and 3D reconstruction that enable new discoveries in protein structure, dynamics, and interactions. For more information about our research, please visit our lab website.
Previously, I obtained my Ph.D. at MIT in 2022, where I developed deep learning methods for 3D reconstruction of dynamic protein structures from cryo-EM images. I have interned at DeepMind on the AlphaFold team, and prior to my Ph.D., I worked at D. E. Shaw Research on molecular dynamics algorithms for drug discovery.
CV / Scholar / GitHub / Twitter / Lab
upcoming talks and travel
- November 22, 2023: Toronto Vision Seminar. Toronto, Canada.
- December 6, 2023: Berkeley CCB Seminar Series. Berkeley, CA.
- December 13-16, 2023: NeurIPS, Machine Learning in Structral Biology Workshop, Generative AI and Biology Workshop, Deep Learning and Inverse Problems Workshop, New Orleans, LA.
- January 29-31, 2024: EMBL Industry Workshop: Cryo-EM in Academia and Industry, EMBL Heidelberg, Germany.
- March 29-31, 2024: EMBO|EMBL Symposium on AI & Biology, EMBL Heidelberg, Germany.
- June 10-14, 2024: AI≡Science: Strengthening the Bond Between the Sciences and Artificial Intelligence, Simons Institute at UC Berkeley.
- June 22, 2024: Keynote, 3DEM Gordon Research Seminar, Castelldefels, Spain.
- July 23, 2024: Protein Society Annual Meeting, Vancouver, Canada.