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Dong Chen

Visiting Assistant Professor in Math @ MSU

• Contact: chendo11@msu.edu
• Office: C331 Wells Hall, 619 Red Cedar Road, East Lansing, MI 48824

 I am on the job market this year. Welcome to connect with me.

Bios

I am currently a Visiting Assistant Professor in the Department of Mathematics at Michigan State University, working with Prof. Guo-Wei Wei in East Lansing, Michigan. I earned my Ph.D. in Materials Physics and Chemistry from Peking University in 2022 under the supervision of Prof. Feng Pan.

Research Interests: My research lies in the field of AI for Science, with a particular focus on integrating mathematical modeling and AI to advance chemical, materials, and biological sciences. I work on Topological Data Analysis (TDA), manifold learning, and higher-order structures. I also develop AI models for computational biology, molecular prediction, and materials discovery, with applications on drug resistance and addiction research, batteries, and Metal-Organic Frameworks (MOFs).

Awards & Grants

2025–2029 U.S. Department of Energy, Microelectronics science research center projects for energy efficiency and extreme environments, $480,000 (Co-PI).
2024–2026 American Mathematical Society, AMS Simons Travel Grant, $5,000 (Recipient).
2023–2024 Bristol Myers Squibb, Quantitative systems pharmacological modeling of drug impact to heart failure, $100,000 (Co-PI).

News

Jul 28, 2025 Poster at the ICERM: Fostering Cross-Disciplinary Collaboration in Biology, Medicine, and Computational Science, Brown University
Jun 25, 2025 Poster at the NYC AI4Chemistry Summit 2025, NYU
Apr 29, 2025 Poster at New Developments in the Theory and Methodology of Graph Neural Networks Workshop, NITMB
Mar 21, 2025 Invited talk at SIAM-SEAS 2025 on “Topological Data Analysis in Biosciences” session at the University of Tennessee

Selected Publications

  1. Nat. Mach. Intell.
    Multiscale topology-enabled structure-to-sequence transformer for protein–ligand interaction predictions
    Dong Chen, Jian Liu, and Guo-Wei Wei
    Nature Machine Intelligence, 2024
  2. Nat. Commun.
    Algebraic graph-assisted bidirectional transformers for molecular property prediction
    Dong Chen, Kaifu Gao, Duc Duy Nguyen, Xin Chen, Yi Jiang, Guo-Wei Wei, and Feng Pan
    Nature Communications, 2021
  3. JACS
    Superionic Ionic Conductor Discovery via Multiscale Topological Learning
    Dong Chen, Bingxu Wang, Shunning Li, Wentao Zhang, Kai Yang, Yongli Song, Guo-Wei Wei, and Feng Pan
    Journal of the American Chemical Society, 2025
  4. Adv. Sci.
    Drug Resistance Predictions Based on a Directed Flag Transformer
    Dong Chen, Gengzhuo Liu, Hongyan Du, Benjamin Jones, Junjie Wee, Rui Wang, Jiahui Chen, Jana Shen, and Guo-Wei Wei
    Advanced Science, 2024
  5. JPCL
    Path topology in molecular and materials sciences
    Dong Chen, Jian Liu, Jie Wu, Guo-Wei Wei, Feng Pan, and Shing-Tung Yau
    The Journal of Physical Chemistry Letters, 2023