# Luke Miratrix Assistant Professor of Education ![Luke Miratrix](/sites/g/files/omnuum8171/files/styles/hwp_4_5__480x600/public/harvard-iqss/files/luke_miratrix_0_0.jpeg?itok=Edx_FhLA) email Luke Miratrix is an assistant professor in the Harvard School of Education and affiliate faculty in the Harvard Department of Statistics. His primary research focus is on causal inference methods. In particular, much of his work is on developing methodology to assess and characterize treatment effect heterogeneity in randomized clinical trials and observational studies, and on characterizing variation in treatment impact on post-treatment or latent subgroups such as from non-compliance. He also works on statistical evaluations of cluster-randomized and multi-site trials. Other research interests include data mining using high-dimensional and sparse (regularized) methods, with a focus on text summarization in contexts such as newspaper corpora, legal decisions, and databases of free-text reports. His main concerns are usually related to the applicability and legitimacy data-driven arguments, which generally leads him to examine the performance and usability of simple, minimal-assumption methods. Luke Miratrix received his Doctorate in Statistics from University of California, Berkeley in Spring, 2012 after switching to that field in 2009 from SESAME, a doctorate program in Mathematics and Science education also at Berkeley. He also has a MS in Computer Science from M.I.T., a BS in Computer Science from the California Institute of Technology, and a BA in Mathematics from Reed College. Between graduate careers, he was a high school teacher and tutor for 7 years. - ## People By Last Name [M - P](/people-last-name/m-p) - ## Role [Affiliated Faculty](/role/affiliated-faculty) [Steering Committee](/role/steering-committee)