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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.
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论文共 101 篇作者统计合作学者相似作者
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JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGYno. 5 (2024): 1471-1491
JOURNAL OF EDUCATIONAL AND BEHAVIORAL STATISTICS (2024)
Christina Weiland,Rebecca Unterman,Susan Dynarski,Rachel Abenavoli,Howard Bloom,Breno Braga, Anne-Marie Faria, Erica Greenberg,Brian A. Jacob,Jane Arnold Lincove, Karen Manship,Meghan Mccormick,
AERA OPEN (2024)
ELEMENTARY SCHOOL JOURNALno. 1 (2023): 1-30
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ELECTRONIC JOURNAL OF STATISTICSno. 2 (2023): 3406-3442
JOURNAL OF EDUCATIONAL AND BEHAVIORAL STATISTICSno. 6 (2023): 889-913
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arXiv (Cornell University) (2023)
Journal of Educational and Behavioral Statisticsno. 4 (2023): 420-453
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