Jianhan Zhang

*Undergrad (Math, Data Science)

University of Michigan

First position after graduation

PhD Student, Michigan Statistics

Thesis/Project

Counterfactual Fairness in Reinforcement Learning via Marginal Distributional Matching

Co-mentored by Jitao Wang.

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. 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 (submitted) ► [paper link] [code] [pdf] [poster] [supplement]