Drew Dimmery joined the research network as the scientific coordinator in 2021. He was previously a research scientist with the Adaptive Experimentation team on Core Data Science at Facebook for four years. While at Facebook, Drew collaborated on data science projects with a lot of teams to improve how they made decisions based on data. Before that, he received a Ph.D. in Politics from New York University concentrating on statistical methodology. His dissertation was on adaptive experimentation.

His work lies at the intersection of causal inference and machine learning, seeking to improve the way experimentation and observational causal inference are practiced through the application of insights from computer science and machine learning. Drew's work has appeared in a variety of top methodological conferences such as KDD, AISTATS and ICML.

As research coordinator, Drew facilitates collaboration between the research network and external partners and tries to make data science expertise more accessible across the university.

We are very happy to have Drew at our research network!