张静茹 - 复旦大学 - 大数据学院

个人简介

青年副研究员。2019年获得北京大学博士学位，之后在美国宾夕法尼亚大学从事博士后研究工作。其主要研究成果发表于Annals of Applied Statistics，Biometrics，Statistica Sinica等国际期刊。 Employment 02/2023- Assistant Professor, School of Data Science, Fudan University 09/2019-02/2023 Postdoctoral Fellow, Biostatistics, University of Pennsylvania Advisors: Professors Hongzhe Li and Haochang Shou Education 09/2013- 07/2019 PhD, Computational Mathematics Beijing International Center for Mathematical Research, Peking University Advisors: Professors Weinan E and Wei Lin 09/2016-09/2017 Visiting Student, Department of Statistics University of California, Davis Advisor: Professor Hao Chen 09/2009-07/2013 B.S., Applied Mathematics School of Mathematical Sciences, Nankai University Advisor: Professor Jishou Ruan Honors and Awards 2019 Zhong Jiaqing outstanding paper award 2018 Outstanding research award, Peking University 2017 Outstanding research award, Peking Universit

研究领域

复杂对象数据的统计分析、移动健康数据分析，以及统计学习在医疗健康方面的应用

近期论文

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Publications — papers published/accepted Clustering multivariate count data via Dirichlet-multinomial network fusion. Xin Zhao, Jingru Zhang, and Wei Lin. Computational Statistics & Data Analysis, 2023. Two-sample tests for multivariate repeated measurements of histogram objects with applications to wearable device data. Jingru Zhang, Kathleen R. Merikangas, Hongzhe Li, and Haochang Shou. Annals of Applied Statistics, 2022. Graph-based two-sample tests for data with repeated observations. Jingru Zhang and Hao Chen. Statistica Sinica, 2022. Scalable estimation and regularization for the logistic normal multinomial model. Jingru Zhang and Wei Lin. Biometrics, 2019. Manuscripts submitted/in preparation A new nonparametric test for multivariate paired data and pair matching. Jingru Zhang, Hao Chen, and Xiao-Hua Zhou. arXiv preprint arXiv:2007.01497, 2020. Principal subspace analysis for high-dimensional compositional data. Jingru Zhang and Wei Lin. arXiv preprint arXiv:2109.04657, 2021. (This paper won the 2019 Zhong Jiaqing outstanding paper award.) Causal treatment effect estimation for outcomes measured with uncertainty. Jingru Zhang, Mathias Basner, Christopher W. Jones, David F. Dinges, Haochang Shou, and Hongzhe Li, 2023. Empirical likelihood tests for variance components in linear mixed-effects models. Jingru Zhang, Wei Guo, Joanne S. Carpenter, Nicholas G. Martin, Ian B. Hickie, Andrew Leroux, Kathleen R. Merikangas, Haochang Shou, and Hongzhe Li. arXiv preprint arXiv:2208.13936, 2023. Non-transient heritability inference based on repeated measures wearable device data. Jingru Zhang, Wei Guo, Joanne S. Carpenter, Nicholas G. Martin, Ian B. Hickie, Andrew Leroux, Kathleen R. Merikangas, Haochang Shou, and Hongzhe Li, 2023. Mediation analysis with densities as mediators with an application to iCOMPARE trial. Jingru Zhang, Mathias Basner, Christopher W.Jones, David F.Dinges, Haochang Shou, and Hongzhe Li arXiv preprint arXiv:2208.13939, 2023. Integration of longitudinal wearable device data from multiple sources. Jingru Zhang, Hongzhe Li, and Haochang Shou, 2023.