team

Ellen D. Zhong, Ph.D.

Principal Investigator
Assistant Professor of Computer Science, Princeton University

zhonge (at) princeton.edu
@zhongingalong
Website
Curriculum Vitae

Ellen Zhong is an Assistant Professor of Computer Science at Princeton University. Her research sits at the intersection of AI and the molecular sciences, where she develops algorithms that drive new scientific discoveries. Her group’s research spans methodological research in AI and computer vision, as well as close collaboration with experimentalists in structural biology and chemistry. Previously, she has worked on the AlphaFold team at Google DeepMind and at D. E. Shaw Research on molecular dynamics for drug discovery. She obtained her Ph.D. from MIT in 2022 before joining the Princeton faculty.

Michal Grzadkowski

Research Software Engineer

mgrzad (at) princeton.edu

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, Ph.D.

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

rf2366 (at) princeton.edu
@FeathersRyan

Ryan Feathers 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-E and cryo-ET methods development. Ryan is supported by the Princeton Presidential Postdoctoral Research Fellowship.

Jeffrey Gu, Ph.D.

Postdoctoral Fellow, Ph.D. Stanford

jg1427 (at) princeton.edu
@jeffhygu
Website

Jeffrey Gu is a postdoctoral fellow in the Department of Computer Science at Princeton University. Previously, he received his Ph.D. from Stanford University in the Institute for Computational and Mathematical Engineering (ICME), where he was advised by Serena Yeung-Levy. He received his B.S. in mathematics from Caltech. His research interests include 3D computer vision, neural fields, geometric deep learning, and AI for science applications.

Minkyu Jeon

Ph.D. Student (CS)

mj7341 (at) princeton.edu
@MinkyuJeon19791
Website

Minkyu Jeon is a Ph.D. student in the Department of Computer Science at Princeton University, 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.

Alkın Kaz

Ph.D. Student (CS)

akaz (at) princeton.edu
@alkin_kaz

Alkin Kaz is a Ph.D. student in the Department of Computer Science at Princeton University. He received his BSE and MEng in Electrical and Computer Engineering 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

Ph.D. Student (CS)

rraghu (at) princeton.edu
@rishwanth_raghu
Website

Rishwanth Raghu is a Ph.D. student in the Department of Computer Science at Princeton University. 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.

Ziyu Xiong

Ph.D. Student (CS)

ziyux (at) princeton.edu

Ziyu Xiong is a Ph.D. student in the Department of Computer Science at Princeton University. Her research focuses on generative modeling, especially developing controllable and efficient generative models for scientific discovery.

Robert Heeter

Ph.D. Student (ODBI)

robert.heeter (at) princeton.edu

Robert Heeter is a Ph.D. student at Princeton’s Omenn-Darling Bioengineering Institute. He received his B.S. in Bioengineering with a minor in Physics from Rice University, with research experience in plasma physics at the U.S. Department of Energy, computational biology at the U.T. M.D. Anderson Cancer Center, and cheminformatics and machine learning at Schrödinger. He is broadly interested in applications of computer vision, physics, and machine learning in structural biology and medicine. Outside the lab, Robert enjoys playing tennis, hiking, photography, graphic design, and building electronics.

Ariana Vlad

Ph.D. Rotation Student (Biophysics)

av0309 (at) princeton.edu

David Shustin

M.S.E. Student (CS)

dshustin (at) princeton.edu

Keith Matanachai

Undergraduate Researcher (CS)

km4074 (at) princeton.edu