Research

Methodology Papers

• Correcting Biases of Shapley Value Attributions for Informative Machine Learning Model Explanations - with Ningsheng Zhao, Jia Yuan Yu and Krzysztof Dzieciolowski. Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (2024), pp 3331–3340. doi:10.1145/3627673.3679846

• Error Analysis of Shapley Value-Based Model Explanations: An Informative Perspective - with Ningsheng Zhao, Jia Yuan Yu and Krzysztof Dzieciolowski. In: Avni, G., et al. AI Verification. SAIV (2024). Lecture Notes in Computer Science, vol 14846, pp 29–48. Springer, Cham. doi 10.1007/978-3-031-65112-0_2.

• General additive network effects model - with Stefan H. Steiner and Nathaniel T. Stevens. New England Journal of Statistics and Data Science (2023). pp 1-19, doi 10.51387/23-NEJSDS29.

  • Featured in the “Design and Analysis of Experiments for Data Science” webinar by the New England Journal of Statistics in Data Science.

Applied Papers

• 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. Submitted to Journal of Sustainable Finance & Investment.

  • Won the Case Studies in Data Analysis Poster Competition during the SSC Annual Meeting, 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), 1–26, doi 10.2308/BRIA-2022-040.

• Canada Revenue Agency, Invited Seminar for Program Analysis Section, 2024. Design and Analysis of Experiments on Networks.

• Joint Research Conference on Statistics in Quality, Industry, and Technology 2024, Advancements in Statistical Methods. Optimal Bayesian Designs for Network A/B Testing.

• Statistical Society of Canada Annual Meeting 2024, Big Data Analysis. Analysis Of Experiments On Networks With Binary Outcomes.

  • Awarded the Honorable Mention in the Student Research Oral Presentation Competition in Data Science and Analytics.

• Statistical Society of Canada Annual Meeting 2023, Analytic Approaches for Novel Data Sources. General Linear Network Effects Model.

  • Won the Student Research Oral Presentation Award in Business and Industrial Statistics.

• Research Presentation Day at Department of Statistics and Actuarial Science, University of Waterloo 2022, General Linear Network Effects Model for Network Experimentation.

• Virtual ISI World Statistics Congress 2021, IPS69, General Linear Network Effects Model for Network Experimentation.

• Student Seminar Series UWaterloo 2020, Introduction to Experimental Design on Networks.