Luke Weisman Miratrix

Prof. Luke Weisman Miratrix is an Associate Professor at the Harvard Graduate School of Education (HGSE) and affiliate faculty in Harvard's Department of Statistics. His primary research focuses on causal inference methods, particularly treatment effect heterogeneity in clinical trials and observational studies, and variation in treatment impact across subgroups. He also examines statistical evaluations of cluster-randomized and multi-site trials, alongside high-dimensional data mining and text summarization techniques.

• Education: PhD in Statistics (UC Berkeley, 2012), MS in Computer Science (MIT), BS in Computer Science (Caltech), BA in Mathematics (Reed College)

His work emphasizes interpretable, assumption-minimal statistical methods. Prior to academia, he spent 7 years as a high school teacher and tutor.

Research interests bridge education policy analysis and computational statistics, with applications in text data from legal decisions and news corpora. Current projects focus on improving causal inference transparency in policy evaluations.