Dr. Ellen Zhong

Assistant Professor

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Biography

Ellen D. Zhong is an Assistant Professor in the Department of Computer Science at Princeton University, affiliated with the Princeton Laboratory for Artificial Intelligence, Center for Statistics, and the Omenn-Darling Bioengineering Institute. Her research spans methodological advancements in AI, particularly in computer vision, and is characterized by close collaborations with experimentalists in molecular biology and chemistry. Her group focuses on developing deep learning methods for 3D reconstruction of protein structures from imaging data and is committed to creating open-source software actively used within the structural biology community. Her innovative research has garnered recognition and several prestigious awards, including the NIH Director’s New Innovator Award and the Schmidt Sciences AI2050 Early Career Fellowship. She received her Ph.D. from MIT in 2022 before joining Princeton. Before her tenure at Princeton, she contributed to the AlphaFold team at Google DeepMind and worked on molecular dynamics algorithms for drug discovery at D. E. Shaw Research. Ellen is also involved with various professional engagements across industry and research institutes and is currently recruiting graduate students and postdocs for her lab, which focuses on defining new challenges at the intersection of AI, molecular biology, and chemistry.

Research Interests

Experience

Assistant Professor

2022-01-01 — Present

Princeton University • Princeton, NJ

Teaching and conducting research in the Department of Computer Science.

Awards

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NIH Director’s New Innovator Award

2022-01-01
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Schmidt Sciences AI2050 Early Career Fellowship

2022-01-01
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Major Society Award Microscopy Society of America

2022-01-01
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Eric Wendy Schmidt Transformative Technology Fund Award

2022-01-01
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E. Lawrence Keyes, Jr./Emerson Electric Co. Faculty Advancement Award

2022-01-01

Requirements for Princeton University

Doctorate Program
Requirements
GPA Requirement
Required:3
GRE General
TOEFL
Speaking
Required:27
IELTS
Speaking
Required:8
Prerequisites
Bachelor's degree in engineering or science Strong background in mathematics, materials, physics, or related engineering
Application Checklist
  • Academic Statement of Purpose
  • Personal Statement
  • Resume/CV
  • Three Letters of Recommendation
  • Transcripts
  • Application Fee
Specialization Notes

GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.