Mun Hong Fong

Discovering therapeutics with AI

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Hi, I am Mun Hong (both are my first name), currently a first year PhD student at Duke University, advised by Rohit Singh and working with Alex Tong. I am deeply interested in therapeutic design, especially in biomolecular modeling, e.g, protein design and molecular discovery.

Previously, I did dev and research at MIT, in the Coley Group, working on AI for synthesis planning. I completed my BS in Computer Science and Chemistry at Purdue University, did my research at Chopra’s Lab.

I am happy to connect with anyone (especially Malaysian!) who is actively working in the field of AI and sciences, and I would like to hear more about your stories. Feel free to connect!

News

Aug 25, 2025 Started my PhD at Duke University! 🎓
Aug 20, 2025 FlowER blossomed in Nature!

Selected Publications

  1. Electron flow matching for generative reaction mechanism prediction
    Joonyoung F Joung*, Mun Hong Fong*, Nicholas Casetti, and 3 more authors
    Nature, 2025
    * Equal contribution
  2. Reproducing Reaction Mechanisms with Machine-Learning Models Trained on a Large-Scale Mechanistic Dataset
    Joonyoung F Joung, Mun Hong Fong, Jihye Roh, and 3 more authors
    Angewandte Chemie International Edition, 2024
  3. ASKCOS: Open-Source, Data-Driven Synthesis Planning
    Zhengkai Tu, Sourabh J Choure, Mun Hong Fong, and 8 more authors
    Accounts of Chemical Research, 2025
  4. Higher-level strategies for computer-aided retrosynthesis
    Jihye Roh, Joonyoung F Joung, Kevin Yu, and 7 more authors
    2025