William Stamey

PhD Student, IT, Analytics, and Operations; Cusumano Family Fellow

IT, Analytics, and Operations

Biography

Will Stamey is an Analytics PhD candidate in his fifth year. Primarily, his research develops computational statistical methods that are tailored for decision-making problems, especially for causal inference in digital settings that entail high-frequency or high-dimensional human behavior data. Beyond this core work, he studies the impacts of AI agents on interactions between humans and develops measures for understanding how similarity across groups affects cooperation and success. Prior to joining the Analytics PhD Program, he received a B.B.A. from Baylor University in 2022 with majors in economics and math.

Background

Education

BBA, Baylor University, Math and Economics

Publications

Difference-in-Differences Subset Scan

William Stamey
Edward McFowland III

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Datamining

2025

Presentations

DiD-Scan: Discovering Subsets in Observational Causal Inference, Twenty-second Symposium on Statistical Challenges in Electronic Commerce Research (SCECR) (2026)
POP-Scan: Scanning Potential Outcomes Predictions for Discovering Effect Patterns in Megastudies, Experimentation and Evaluation in Operations Workshop at Harvard Business School (2026)