Jitao Wang | University of Michigan

About Me

Hello! I am a final-year PhD student in the Department of Biostatistics at the University of Michigan, where I also got my master’s degree. Prior to UMich, I got my bachelor’s degree in bioinformatics from Shanghai Jiao Tong University. Currently, I am fortunate to work with Dr. Zhenke Wu(UMich) and Dr. Chengchun Shi from London School of Economics and Political Science(LSE).

Research Interests

My research interest cneters around the development and practice of statistical methods within the field of mobile health. My current focus is on reinforcement learning, causal inference and fairness in machine learning.

Keywords

Theory and Methods: Reinforcement Learning, Causal Inference, Sequential Decision Making, Deep Learning, Longitudinal Data Analysis, Hypothesis Testing, Fairness in Machine Learning.
Applications: Mobile Health, Computerized Adaptive Test, Personalized/Individualized Healthcare, Mirco-randomized Trial.

Publications

Preprint

Counterfactually Fair Offline Reinforcement Learning via Sequential Data Preprocessing

Jitao Wang, Chengchun Shi, John D. Piette, Joshua R. Loftus, Zhenke Wu

Preprint

Multivariate Dynamic Mediation Analysis under a Reinforcement Learning Framework

Lan Luo, Chengchun Shi, Jitao Wang, Zhenke Wu, Lexin Li

arXiv

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ICML

A Robust Test for the Stationarity Assumption in Sequential Decision Making.

Jitao Wang, Chengchun Shi, Zhenke Wu

Proceedings of the 40th International Conference on Machine Learning (ICML), 2023.

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ICML

A Reinforcement Learning Framework for Dynamic Mediation Analysis

Lin Ge, Jitao Wang, Chengchun Shi, Zhenke Wu, Rui Song

Proceedings of the 40th International Conference on Machine Learning (ICML), 2023.

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JFR

The Dosing of Mobile-Based Just-in-Time Adaptive Self-Management Prompts for Caregivers - Preliminary Findings From a Pilot Microrandomized Study

Jitao Wang, Zhenke Wu, Sung Won Choi, Srijan Sen, Xinghui Yan, Jennifer A Miner, Angelle M Sander, Angela K Lyden, Jonathan P Troost, Noelle E Carlozzi

JMIR Formative Research.

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NPJ-DM

Effectiveness of gamified team competition as mHealth intervention for medical interns - A cluster micro-randomized trial

Jitao Wang, Yu Fang, Elena Frank, Maureen A. Walton, Margit Burmeister, Ambuj Tewari, Walter Dempsey, Timothy NeCamp, Srijan Sen, Zhenke Wu

Npj Digital Medicine.

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JMIR

An app-based just-in-time-adaptive self-management intervention for care partners - The CareQOL feasibility pilot study.

Noelle E Carlozzi, Sung Won Choi, Zhenke Wu, Jennifer A Miner, Angela K Lyden, Christopher Graves, Jitao Wang, Srijan Sen

Rehabilitation Psychology.

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