đź‘‹I am a researcher, teacher, and practitioner of behavioral science.
My research focuses on the generalizability of behavioral science interventions in the field—what works, for whom, under which conditions—using methods from meta-analysis, field experimentation, and machine learning. Increasingly, this has led me to a broader question of how researchers and organizations accumulate evidence for future decisions: When can we infer results from another study, team, or brand, and when do we need to run a new test? Across these projects, I am a strong proponent of reproducible, open science practices.Â
My teaching covers heuristics and biases, behavior change design, experimentation, and basic stats—with a focus on hands-on empirical projects with real companies.
Prior to my postdoc at Yale SOM, I earned my PhD and taught as a Lecturer at Wharton, earned my MBA and taught as an Adjunct Professor of Behavioral Science at Chicago Booth, and ran a consulting firm specializing in applied psychology and experimentation.Â