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.

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.