Jianhan Zhang

PhD Student (Stat)

University of Michigan

Placement

PhD Student, Michigan Statistics

Thesis/Project

Counterfactual Fairness in Reinforcement Learning via Marginal Distributional Matching

Previously an undergraduate researcher in the lab

Co-mentored by Jitao Wang as an undergraduate.

Notes

Thesis work awarded Highest Honors by Statistics Undergraduate Curriculum Committee.

Thesis work also awarded Inaugural Director’s Award for Distinguished Honors Thesis (“Best Thesis Award”), Statistics, UMich

Papers (partial)

1. A Distribution Mapping Approach to Counterfactually Fair Reinforcement Learning. Jianhan Zhang, Jitao Wang, John Piette, Donglin Zeng, Chengchun Shi, Zhenke Wu (2026) ► NeurIPS [paper link]

2. PyCFRL: A Python library for counterfactually fair offline reinforcement learning via sequential data preprocessing. Jianhan Zhang, Jitao Wang, Chengchun Shi, John Piette, Donglin Zeng, Zhenke Wu (2026) ► Journal of Open Source Software [code] [doi] [pdf] [poster] [supplement]