Education

2014-2019, Rice University, Computational Biophysics, Ph.D.

2010-2014, Peking University, Biology, B.S.

 

Academic Experience

2024-Present, Changping Laboratory, Scientist, Senior Principal Investigator, Head of AI Division

2018-2024, Beijing neoX Biotech Co., Ltd., Founding Team, Vice President

Overview of Academic Research

Focused on AI/computation-driven biomolecular dynamics, protein folding, protein interactions, and drug design. Emphasis on AI-driven design and optimization of biologics (e.g., antibodies) for drug development.

1) Published over 10 first/co-first author papers in PNAS, Nat Comm, JACS, etc., on protein dynamics, structure prediction, and interactions.

2) Contributed to the design of the CD24 antibody, China’s first AI-optimized monoclonal antibody approved by the FDA for IND; advanced multiple small/large molecule drugs to PCC stage; secured over 100M RMB in licensing deals for computationally designed drug candidates.

3) RibbonFold, the first amyloid protein prediction model.

4) PPIFlow, an antibody generation platform achieving pM affinity.

5) Led team at CASP13 (2018) to 6th place in free modeling field.

6) Filed multiple patent applications/priority claims.

Major Honor and Awards

• 2020, HiCool Global Entrepreneurship Competition, 1st Prize

• 2020, Selected for Beijing High-Level Talent Program

  
  

Representative Research Achievements

1.Yu, Q., Guo, L., Qin, X., Huang, X., Tian, B., Wang, H., ... & Chen, M*. (2026). High-Affinity Protein Binder Design via Flow Matching and In Silico Maturation. bioRxiv, 2026-01.

2.Guo, L., Yu, Q., Wang, D., Wu, X., Wolynes, P. G., & Chen, M*. (2025). Generating the polymorph landscapes of amyloid fibrils using AI: RibbonFold. Proceedings of the National Academy of Sciences, 122(16), e2501321122.

3.Xu, Y., Wang, D., Zhou, Z., Yu, T., & Chen, M*. (2025). TEMPO: Temporal Multi-scale Autoregressive Generation of Protein Conformational Ensembles. NeurIPS.

4.Chen, M*., Jin, S*., Chen, X*., Bueno, C. and Wolynes, P.G., 2023. The marionette mechanism of domain–domain communication in the antagonist, agonist, and coactivator responses of the estrogen receptor. Proceedings of the National Academy of Sciences, 120(6), p.e2216906120.

5.Chen, M., Chen, X., Schafer, N.P., Clementi, C., Komives, E.A., Ferreiro, D.U. and Wolynes, P.G., 2020. Surveying biomolecular frustration at atomic resolution. Nature Communications, 11(1), pp.1-9.

6.Chen, M*., Chen, X*., Schafer, N.P. and Wolynes, P.G., 2020. Exploring the interplay between fibrillization and amorphous aggregation channels on the energy landscapes of tau repeat isoforms. Proceedings of the National Academy of Sciences, 117(8), pp.4125-4130.

7.Chen, M., & Wolynes, P. G. (2017). Aggregation landscapes of Huntingtin exon 1 protein fragments and the critical repeat length for the onset of Huntington’s disease. Proceedings of the National Academy of Sciences, 114(17), 4406-4411.

8.Chen, M., Tsai, M., Zheng, W., & Wolynes, P. G. (2016). The Aggregation Free Energy Landscapes of Polyglutamine Repeats. Journal of the American Chemical Society, 138(46), 15197-15203.

9.Chen, M., Zheng, W., & Wolynes, P. G. (2016). Energy landscapes of a mechanical prion and their implications for the molecular mechanism of long-term memory. Proceedings of the National Academy of Sciences, 113(18), 5006-5011.