Statistics & Machine Learning

Zhongli Jiang

I received my Ph.D. in Statistics from Purdue University in 2024 and my master’s degree in Statistics from Purdue University in 2019. I earned my bachelor’s degree in Statistics and Operations Research from Hong Kong Baptist University in 2017. I worked as a full-stack data scientist at Sysco, analyzing large-scale enterprise data and developing AI agents to deliver actionable business insights.

My research interests include representation learning, explainable artificial intelligence, causal inference, and bioinformatics. I also develop open-source software for statistical computing and reproducible research.

I enjoy making things simple and elegant.

Selected publications

  1. UAI 2025

    Fast Calculation of Feature Contributions in Boosting Trees

    Zhongli Jiang, Min Zhang, and Dabao Zhang

  2. NeurIPS 2023

Open-source software

Academic Service

Conference Reviewer: NeurIPS (2025, 2026) · ICLR (2025, 2026, 2027) · UAI (2026)

Journal Reviewer: Communications Biology · JOSS · Experimental Biology and Medicine

Email

Copy my email address to get in touch.