Luke Miratrix

Luke Miratrix

Assistant Professor
Harvard Graduate School of Education
Affiliate Faculty of the Department of Statistics
Miratrix
Luke Miratrix works in the areas of causal inference and text analysis (both separately and overlapping). For causal inference he has a specific focus on assessing and characterizing treatment variation in randomized experiments. For text he primarily focuses on how to capture human-interpretable quantities using automated methods. He has particularly worked on ways of evaluating the success of machine learning approaches using human validation. He is also working on how data science interacts with causal inference by developing tools built from more classical statistical ideas such as survey sampling that use data science approaches in a manner that protects the validity of subsequent causal estimates.

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