Phone: n/a |
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Education:
2010-2014 School of Mathematical Sciences, PKU B.S.
2014-2019 School of Mathematical Sciences, PKU Ph.D.
Research interests:
AI for Biology, Computational Systems Biology, Analysis of Omics Data
Academic experiences:
2020 |
UC Irvine |
Postdoc Researcher. Mentor: Qing Nie |
2020-2023 |
UC Irvine |
Visiting Assistant Professor, Math Department |
2023.8-present |
Peking University |
PI of Center for Machine Learning Research and Center for Quantitative Biology |
Selected publications:
Peijie Zhou, Federico Bocci, Tiejun Li and Qing Nie, Spatial transition tensor of single cells,, Nature Methods 21, 1053–1062 (2024)
Yutong Sha, Yuchi Qiu, Peijie Zhou and Qing Nie, Reconstruct Growth and Dynamic Trajectories from Single-cell Transcriptomics, Nature Machine Intelligence, volume 6, pages25–39 (2024)
Peijie Zhou, Shuxiong Wang, Tiejun Li and Qing Nie, Dissecting Transition Cells in Single-cell Transcriptome Data by Multi-scale Reduction of Stochastic Dynamics. Nature Communications. 12, 5609, 2021
Peijie Zhou, Xin Gao, Xiaoli Li, Linxi Li, Caoyuan Niu, Qi Ouyang, Huiqiang Lou Tiejun Li and Fangting Li, Stochasticity Triggers Activation of the S-phase Checkpoint Pathway in Budding Yeast. Physical Review X 11(1), 011004, 2021.
Federico Bocci, Peijie Zhou†, and Qing Nie† , spliceJAC: Identify transition driver genes and cell state specific regulatory interactions from single-cell transcriptome data, Molecular Systems Biology, 2022, 18:e11176
Tiejun Li, Yizhuo Wang, Guoguo Yang and Peijie Zhou, On the Mathematics of RNA Velocity II: Algorithmic Aspects, CSIAM Transactions on Applied Mathematics 5 , pp. 182-220 (2024),.
Tiejun Li, Jifan Shi, Yichong Wu and Peijie Zhou. On the Mathematics of RNA Velocity I: Theoretical Analysis. CSIAM Transactions on Applied Mathematics, 2(1).1-55, 2021
