People

Drew Dimmery

Research Scientist

My research focuses on the intersection of machine learning and causal inference. In particular, I work on improving and routinizing the practice of massive online experimentation, developing ML systems which grapple with causality and constructing better estimators for observational causal inference by using machine learning.

Interests

Causal inference, experimentation, machine learning

Related Links

Personal Website

Latest Publications

Thompson Sampling for Contextual Bandit Problems with Auxiliary Safety Constraints

Sam Daulton, Shaun Singh, Vashist Avadhanula, Drew Dimmery, Eytan Bakshy

Workshop on Safety and Robustness in Decision Making at NeurIPS - December 2, 2019