Email: [email protected]

Address: Karl-Liebknecht-Str. 32, Microsoft, 10178 Berlin, Germany

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Education

• 2018.8 – 2023.9 Ph.D. in Applied Physics, Harvard University. Advisor: Boris Kozinsky

  Thesis: Machine Learning Bayesian Force Fields and Applications to Phase Transformations.

• 2018.8 – 2021.11 M.S. in Applied Physics, Harvard University. Advisor: Boris Kozinsky

• 2014.9 – 2018.7 B.S. in Applied Mathematics, Peking University. Advisor: Zaiwen Wen

  Thesis: Stomatology Big Data Structuring and a Simple Machine-Learning-based Design of Clinical Decision Support System.

Employment

• 2023.9 – Present Senior Researcher at Microsoft Research AI for Science Berlin. Working on generative models of proteins.
• 2019.6 – 2019.8 Intern at Lawrence Livermore National Laboratory Computational Chemistry and Materials Science program. Advised by Dr. Rebecca K. Lindsey. Worked on active learning machine learning potential of carbon monoxide system with carbon condensation phenomenon.
• 2018.3 – 2018.7 Intern at Microsoft Research Asia. Advised by Dr. Li Zhao and Dr. Tao Qin in the machine learning group. Worked on reinforcement learning algorithms.
• 2017.7 – 2017.9 Research Assistant at Harvard University. Advised by Prof. Yue Lu in the Signal and Information Processing group. Worked on local minima of integer least square problem in MIMO system.

Presentations / Invited Talks

• 2026.7 “From Simulation to Generation: Molecular Dynamics Meets AI” workshop at SJTU.
• 2026.4 MOISS seminar on Enhanced Diffusion Sampling.
• 2025.12 EurIPS SIMBIOCHEM Workshop on BioEmu.
• 2025.7 AI4X conference in Singapore on BioEmu.
• 2025.2 VantAI seminar and Genmab seminar on BioEmu.
• 2024.10 Colloquium@T2P seminar series at Humboldt University Theoretical Transport Physics group on "Uncertainty-aware molecular dynamics from Bayesian active learning for phase transformations and thermal transport."