team | E.Z. Lab

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. 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

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 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.

Minkyu Jeon

Ph.D. Student (CS)

mj7341 (at) princeton.edu
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.

Axel Levy

Ph.D. Student with Gordon Wetzstein, Stanford

axlevy (at) stanford.edu
@axlevy0
Website

Rishwanth Raghu

Ph.D. Student (CS)

rraghu (at) princeton.edu

Rishwanth is a Ph.D. student in the Department of Computer Science at Princeton University, having received his BSE and MS 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.

Ziyu Xiong

Ph.D. Student (CS)

ziyux (at) princeton.edu

Ziyu 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.

Ambri Ma

M.S.E. Student (CS)

ambri (at) princeton.edu

Ambri Ma is a M.S.E. student in the Computer Science Department at Princeton University, where she received her B.S.E. in Operations Research and Financial Engineering, with certificates in Statistics and Machine Learning, Applications of Computing, and Neuroscience. She is broadly interested in applying and advancing generative modeling methods for scientific applications, with specific emphasis in cryo-EM.