Q-SHAP
Feature-specific R² contributions for tree ensembles using an efficient Shapley decomposition.
Statistics & Machine Learning
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.
Feature-specific R² contributions for tree ensembles using an efficient Shapley decomposition.
Conference Reviewer: NeurIPS (2025, 2026) · ICLR (2025, 2026, 2027) · UAI (2026)
Journal Reviewer: Communications Biology · JOSS · Experimental Biology and Medicine