Luke Miratrix was most recently an assistant professor of Statistics in the Faculty of Arts and Sciences at Harvard University. His primary research focus is on causality with a focus on developing methodology to assess and characterize treatment effect heterogeneity in randomized clinical trials and observational studies. He also has conducted statistical evaluations of large-scale cluster-randomized trials of education interventions. 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. 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 an M.S. in Computer Science from M.I.T., a B.S. in Computer Science from the California Institute of Technology, and a B.A. in Mathematics from Reed College. Between graduate careers, he was a high school teacher and tutor for seven years.