Ellen D. Zhong

Assistant Professor
Department of Computer Science
Princeton University

Email: zhonge [at] princeton.edu
Office: Computer Science 314
Lab website: E.Z. Lab

Ellen Zhong is an Assistant Professor of Computer Science at Princeton University. She is interested in problems at the intersection of AI and biology. Her research develops machine learning methods for computational and structural biology problems with a focus on protein structure determination with cryo-electron microscopy (cryo-EM). She received her Ph.D. from MIT in 2022, advised by Bonnie Berger and Joey Davis, where she developed deep learning algorithms for 3D reconstruction of dynamic protein structures from cryo-EM images. She has interned with John Jumper and the AlphaFold Team at DeepMind and previously worked on molecular dynamics algorithms and infrastructure for drug discovery at D. E. Shaw Research. She obtained her B.S. from the University of Virginia where she worked with Michael Shirts on computational methods for studying protein folding.

For more information about her research and group, please visit her lab website: https://ezlab.princeton.edu/.

Research Positions

For more details, see Ellen's CV.

Selected Publications

See here for a full list of publications.



2020 and earlier


CryoDRGN (Deep Reconstructing Generative Networks) is a state-of-the-art machine learning system for 3D reconstruction of dynamic protein structures from cryo-EM data, developed and maintained by Ellen, her collaborators and research group. CryoDRGN is released as an open-source tool on Github: For more information, see her group's software page.



Ellen is a co-organizer for the Machine Learning for Structural Biology Workshop, held at NeurIPS. The MLSB workshop website can be found here: [2020] [2021] [2022].


Upcoming: 2023: 2022: 2021: 2020 and earlier:

Last updated June 2023.