Photo of Jacky Chen

Jacky Chen

Ph.D. Student
CMU-Pitt Joint Ph.D. Program in Computational Biology

I am a third-year Ph.D. student in the Joint Carnegie Mellon–University of Pittsburgh Ph.D. Program in Computational Biology, advised by David Koes. My research focuses on machine learning methods for molecular discovery and sampling. Prior to my Ph.D., I worked with Alan Cheng at Merck on deep learning for ADMET prediction. I received my undergraduate degree from Johns Hopkins University, where I worked with Jeffrey Gray on diffusion models for protein docking.

Education

  • Carnegie Mellon University
    University of Pittsburgh
    Joint Ph.D. Program in Computational Biology
    Ph.D.
    Sep. 2024 - Present
  • Johns Hopkins University
    B.S. in Computer Science and Biophysics
    May 2023

Experience

  • Merck & Co., Inc.
    Modeling & Informatics
    ML Researcher
    May 2023 - Aug. 2024
  • Johns Hopkins University
    Gray Lab
    Computational Protein Design Research Assistant
    Sep. 2022 - May 2023

Selected Publications

  1. WELP: Weighted Ensemble in the LooP for Committor Learning
    Jacky Chen, Rishal Aggarwal, David Ryan Koes
    NeurIPS, 2026
  2. Rishal Aggarwal, Jacky Chen, Nicholas Boffi, David Koes
    NeurIPS, 2025
  3. Jacky Chen, Yunsie Chung, Jonathan Tynan, Chen Cheng, Song Yang, Alan C. Cheng
    Journal of Chemical Information and Modeling, 2025

All publications →