About me
I am an assistant professor in the Department of Statistics at UC Davis. Prior to joining the department, I was a postdoctoral research scientist working with Liam Paninski at Department of Statistics and Grossman Center for the Statistics of Mind, Columbia University. I completed my Ph.D. in biostatistics under the supervision of Ali Shojaie and Daniela Witten at the University of Washington, and I obtained my B.S. in statistics from Yuanpei College, Peking University. I am broadly interested in emerging statistical problems in learning large complex biological systems from massive data. I address these problems using statistical theory and methods in high-dimensional statistics and graphical models. Recently, I have developed an interest in applications in neuroscience.
Publications
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Manuscripts in progress
- Zitong Zhang and Shizhe Chen. Simultaneous estimation and clustering of additive shape invariant models for neural data. Submitted. [arXiv]
- Shizhe Chen, Ali Shojaie, Eric Shea-Brown, and Daniela M. Witten. The multivariate Hawkes process in high dimensions: Beyond mutual excitation. In progress. [arXiv]
- Hao Chen, Shizhe Chen, Xinyi Deng. A Universal Nonparametric Event Detection Framework for Neuropixels Data. In progress. [biorxiv] [ slides]
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Published papers
- Zitong Zhang and Shizhe Chen. Semiparametric estimation for dynamic networks with shifted connecting intensities. Annals of Applied Statistics, 2024. [download]
- Zhichao Jiang, Shizhe Chen, and Peng Ding. An instrumental variable method for point processes: generalized Wald estimation based on deconvolution Biometrika, 2023. [link][arXiv]
- Xinyi Deng, Shizhe Chen, Marielena Sosa, Mattias Karlsson, Xue-Xin Wei, and Loren Frank. A Variable Clock Underlies Internally Generated Hippocampal Sequences. Journal of Neuroscience 4 May 2022, 42 (18) 3797-3810. [link]
- Fang Han, Shizhe Chen, and Han Liu. Distribution-free tests of independence in high dimensions. Biometrika, 104(4): 813-828, 2017.[link][arXiv]
- Shizhe Chen, Daniela M. Witten, and Ali Shojaie. Nearly assumptionless screening for the mutually-exciting multivariate Hawkes process. Electronic Journal of Statistics, 11(1):1207-1234, 2017. [link][MR]
- Shizhe Chen, Ali Shojaie, and Daniela M. Witten. Network reconstruction from high-dimensional ordinary differential equations. Journal of the American Statistical Association, 112.520 (2017): 1697-1707.[link][arXiv][code]
- Linbo Wang, Shizhe Chen, and Ali Shojaie. Discussion on "Causal inference by using invariant prediction: identification and confidence intervals". Journal of the Royal Statistical Society: Series B (Statistical Methodology), 78(5):1004-1005, 2016. [link]
- Shizhe Chen, Daniela M. Witten, and Ali Shojaie. Selection and estimation for mixed graphical models. Biometrika, 102(1):47-64, 2015. [link][arXiv][code][MR]
Teaching
- STA 106 Applied Statistical Methods: Analysis of Variance. [GitHub, Jupyter notebook]
- STA 108 Applied Statistical Methods: Regression Analysis. [GitHub, Gitbook]
- STA 141A Fundamentals of Statistical Data Science. [GitHub, Jupyter notebook]
- STA 207 Statistical Methods for Research II. [GitHub, Jupyter notebook]
- STA 251 Topics in Statistical Methods and Models.
Contact me
- Address
- Department of Statistics, Mathematical Sciences Building 4117, University of California, Davis, One Shields Avenue, Davis, CA 95616, U.S.A.
- Phone
- +1-(530)-754-8778
- szdchen@ucdavis.edu