About me
I am a tenure-track Assistant Professor at the Center for Machine Learning Research and Center for Quantitative Biology at Peking University, Beijing, China.
I obtained my B.S.(2014) and Ph.D.(2019) in Computational Mathematics from School of Mathematical Sciences, Peking University, supervised by Professor Tiejun Li. I used to be a visiting graduate student in Mathematics Department, University of California, Irvine in 2018. Starting from 2012, I also served as the research assistant in the lab of Professor Fangting Li, from Center for Quantitative Biology, Peking University. My dissertation is titled Rare Event Studies in Single-Cell Systems Biology. After graduation in 2019, I started my postdoc at UC Irvine, USA under the supervision of Professor Qing Nie, and became the Visiting Assistant Professor of mathematics department from 2020 to 2023.
I joined Peking University as a faculty starting from July 2023. My research interests lie at the intersection between applied mathematics and quantitative biology. Especially I am interested in combining both the mathematical and the machine intelligence to study single-cell biological data science. I’m working on incorporating the wisdom of computational systems biology (e.g. techniques in dynamical system modeling and applied stochastic analysis) into the analysis of emergent single-cell multi-omics data with the aid of cutting-edge AI tools, toward a better understanding of cell-fate decision process across multiple temporal and spatial scales.
Specifically, my recent research interests focus on:
- AI for Biology
- AI-driven virtual cells: Intelligent inference and generation of cellular dynamics based on multi-omics data
- Multi-omics foundation models and biomedical applications
- Generative Models
- Physics-informed generative models: Algorithmic analysis and improvements based on dynamic optimal transport, Schrödinger bridge, diffusion models, etc.
- Applications of generative models in complex systems (e.g. climate change) and AI for Science