Quality Control (incl. AI evaluation, interpretable AI, etc.)
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Introducing the O-Value: A Universal Standardization Method for Confusion-Matrix-Based Classification Performance Metrics - with Ningsheng Zhao, Jia Yuan Yu and Krzysztof Dzieciolowski.
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Correcting Biases of Shapley Value Attributions for Informative Machine Learning Model Explanations - with Ningsheng Zhao, Jia Yuan Yu and Krzysztof Dzieciolowski. CIKM 2024.
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Error Analysis of Shapley Value-Based Model Explanations: An Informative Perspective - with Ningsheng Zhao, Jia Yuan Yu and Krzysztof Dzieciolowski. SAIV 2024.
Experimental Design
- Genetic Algorithm-Based Bayesian Optimal Design for Network Experiments - with Stefan H. Steiner and Nathaniel T. Stevens. Technometrics 2025. Code.
Statistical Transport (incl. causal inference, meta-analysis, data integration, etc.)
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Causal Inference for the Expected Number of Recurrent Events in the Presence of a Terminal Event - with Benjamin R. Baer, Daniel Mork, Robert L. Strawderman, and Ashkan Ertefaie. Code.
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Correction for Participation Bias in Nonprobability Samples Using Multiple Reference Surveys - with Victoria Landsman, Lingxiao Wang, Ivan Carrillo‐Garcia, Aya A Mitani, Peter M Smith, Barry I Graubard, Nancy Carnide. Statistics in Medicine 2026.
Statistical Modeling (incl. econometrics, social networks, etc.)
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General Additive Network Effects Model - with Stefan H. Steiner and Nathaniel T. Stevens. NEJSDS 2023.
- Featured in the “Design and Analysis of Experiments for Data Science” webinar by the New England Journal of Statistics in Data Science.
Applied Research
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Cataract and glaucoma surgery in microphthalmic, nanophthalmic, and high hyperopic eyes: a systematic review and meta-analysis - with Rebecca Zheng Li, Abdullah Virk, David Bulanov, Justin Zhang, Eugene Wang, Henry Qin, and Karen Allison. Frontiers in Ophthalmology 2026.
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Understanding the Impact of Seasonal Climate Change on Canada’s Economy by Region and Sector - with Shiyu He, Yuying Huang, Wenling Zhang, Jie Jian, Samuel W.K. Wong, and Tony S. Wirjanto.
- Won the Case Studies in Data Analysis Poster Competition in the SSC 2023.
- In All Fairness: A Meta-Analysis of the Tax Fairness-Tax Compliance Literature - with Jonathan Farrar, Mary Marshall, Dawn Massey, Linda Thorne, and Anita Wu. Behavioral Research in Accounting 2023.