| Shi Jifan Associate Principal Investigator, Master Supervisor Research Institute of Intelligent Complex Systems, Fudan University |
Summary：
I focus on stochastic modeling, complex systems, and computational biology. My research topics include complex network inference, dynamical causality, single-cell omics data analysis, and early-warning signals for critical transitions. Related works have been published in academic journals like Briefings in Bioinformatics, PLoS Computational Biology and National Science Review.
Education：
2012.9-2018.1 Ph.D. in Computational Mathematics, School of Mathematical Sciences, Peking University
22008.9-2012.7 B.Sc. in Information and Computing Sciences, School of Mathematical Sciences, Peking University
Work Experience：
2022.5-presentAssociate Researcher Research Institute of Intelligent Complex Systems, Fudan University
2020.4-2022.3 Researcher International Research Center for Neurointelligence, The University of Tokyo
2020.4-2022.3 Researcher International Research Center for Neurointelligence, The University of Tokyo
Recent Publications：
[1] Jifan Shi, Luonan Chen, and Kazuyuki Aihara. Embedding entropy: a nonlinear measure of dynamical causality. J. R. Soc. Interface, 19: 20210766, 2022.
[2] Jifan Shi, Kazuyuki Aihara, and Luonan Chen. Dynamics-based data science in biology. Natl. Sci. Rev., 8(5) nwab029, 2021.
[3] Jifan Shi, Andrew E Teschendorff, Weiyan Chen, Luonan Chen, and Tiejun Li. Quantifying Waddington’s epigenetic landscape: a comparison of single-cell potency measures. Brief. Bioinform., 21(1):248-261, 2020.
[4] Jifan Shi, Tiejun Li, Luonan Chen, and Kazuyuki Aihara. Quantifying pluripotency landscape of cell differentiation from scRNA-seq data by continuous birth-death process. PLOS Comput. Biol., 15(11): e1007488, 2019.
