Ellen D. Zhong

Ellen D. Zhong, Ph.D.

Principal Investigator
Assistant Professor of Computer Science, Princeton University

zhonge (at)
Curriculum Vitae

Ellen Zhong is an Assistant Professor of Computer Science and the Principal Investigator of the E.Z. Lab at Princeton University. She obtained her Ph.D. at MIT, where she developed deep learning methods for 3D reconstruction of dynamic protein structures from cryo-EM images. Ellen has also worked at DeepMind on the AlphaFold team, and at D. E. Shaw Research on molecular dynamics algorithms for drug discovery. She is interested in problems at the intersection of AI and biology and developing methods that enable new biological discoveries.

Michal Grzadkowski

Michal Grzadkowski

Research Software Engineer

mgrzad (at)

Michal Grzadkowski is a Senior Research Software Engineer who is also a member of the Research Computing group at Princeton. He received a BMath from the University of Waterloo in Combinatorics & Optimization as well as a MS from MIT in Computer Science, and has ten years of experience as a researcher at the intersection of software development and novel machine learning methods. His past work includes analyzing the performance of biomarkers used in cancer therapeutics, studying the role combinations of mutated states play in tumorigenesis, and implementing Monte Carlo pipelines deriving risk indices for renewable sources of energy. In his spare time he enjoys reading, watching soccer, and playing pool.

Ryan Feathers

Ryan Feathers, Ph.D.

Postdoctoral Fellow, Ph.D. Cornell
Joint with the Hughson Lab

rf2366 (at)

Ryan received his B.S. in Biochemistry and Microbiology at Oklahoma State University before completing his Ph.D. in Biochemistry at Cornell University. He is interested in the molecular mechanisms that facilitate cellular trafficking and cryo-EM methods development.

Ramya Rangan

Ramya Rangan, Ph.D.

Postdoctoral Fellow, Ph.D. Stanford

rr1992 (at)

Minkyu Jeon

Minkyu Jeon

Ph.D. Student (CS)

mj7341 (at)

Minkyu Jeon is a Ph.D. student where his research focuses on 3D reconstruction, generative models, and their applications to inverse problems encountered in computer vision, with an emphasis on scientific imaging modalities such as cryo-EM.

Axel Levy

Axel Levy

Ph.D. Student with Gordon Wetzstein, Stanford

axlevy (at)

Alkın Kaz

Alkın Kaz

MEng Student (ECE)

akaz (at)

Alkin Kaz is a Master’s of Engineering student at the Department of Electrical and Computer Engineering at Princeton University. He received his BSE in 2023 at the same department, with certificates/minors in Statistics & Machine Learning, Finance, and Applications of Computing. He is a double-time International Physics Olympiad (IPhO) silver medalist, and his past research includes plasma physics and quantum machine learning. His current research is focused on developing novel deep learning algorithms for cryo-EM. Outside of the academic context, he dances tango and he is an avid reader of history and finance.

Rishwanth Raghu

Rishwanth Raghu

MS Student (CS)

rraghu (at)

Rishwanth is a MS student in Computer Science at Princeton, having received his BSE in the same department. He is broadly interested in the application of computer vision techniques towards problems in biology, medicine, and neuroscience. His current research interests lie in machine learning algorithms for cryo-EM and cryo-ET processing.

Adele Peng

Adele Peng

Undergraduate Researcher (Chem)

adelep (at)


David Shustin, BSE (COS)
previously: Undergraduate Student (2023-2024)

Vicky Feng, AB (COS)
previously: Undergraduate Student (2023-2024)

Vineet Bansal
previously: Visiting Research Software Engineer (2022-2023)

Mark Castellano, MEng (ECE)
previously: Masters Student (2022-2023)