SHI, Jiasheng

Assistant Professor

Education Background

Ph.D. in Statistics/Probability Theory, Department of Statistics, The Chinese University of Hong Kong, 2019
B.S. in Mathematics, Zhejiang University, 2015

Research Field
Predictive Intelligence for Infectious Disease and Pandemic Prevention, EHR-based Research, Distributed Analysis, Meta-analysis, High-dimensional Statistical Inference, Self-normalized Limit Theory, Asymptotic Theory in probability and statistics
Personal Website
http://Jiasheng-Shi.github.io
Email
shijiasheng@cuhk.edu.cn
Office
Room 417d, Daoyuan Building
Biography

Jiasheng Shi is an Assistant Professor of School of Data Science, The Chinese University of Hong Kong, Shenzhen. Prior joining CUHK-Shenzhen in 2023, he was a Ph.D. student at The Chinese University of Hong Kong and a Postdoc at the Department of Biostatistics, University of Pennsylvania, and the Policy Lab, Children’s Hospital of Philadelphia. He has published papers in several top statistics and public health journals, including Annals of Statistics, Annals of Applied Statistics, Health Affairs, and Journal of the American Medical Informatics Association. He has served as a reviewer for multiple journals and actively participated in academic serving works.

Academic Publications

A. Journal articles

1. “Refined Cramer Type Moderate Deviation Theorems for General Self normalized Sums with Applications to Dependent Random Variables and Winsorized Mean". Annals of Statistics, 2022, 50(2), 673-697, with Lan Gao, Qi-Man Shao.

2. “Distributed Proportional Likelihood Ratio Model with Application to Data Integration Across Clinical Sites". Annals of Applied Statistics, to appear in 2023. Chongliang Luo, Rui Duan, Jiasheng Shi, Mackenzie Edmondson, Mitchell Maltenfort, Jeffrey S. Morris, Christopher Forrest, Rebecca Hubbard and Yong Chen.

3. “The Effectiveness of Government Masking Mandates on SARS-CoV-2 County level Case Incidence Across the United States". Health Affairs, 2022, 41(3), 445-453. Jing Huang, Brian T.Fisher, Vicky Tam, Zi Wang, Lihai Song, Jiasheng Shi, Xi Wang, Jeffrey S. Morris, Susan E. Coffn, David Rubin.

4. “Missing data matter: an empirical evaluation of the impacts of missing EHR data in comparative effectiveness research”. Journal of the American Medical Informatics Association, 2023, ocad066. Yizhao Zhou, Jiasheng Shi, Ronen Stein, Xiaokang Liu, Robert N Baldassano, Christopher B Forrest, Yong Chen, Jing Huang.