Luke W. Miratrix
Assistant Professor of Education, Harvard Graduate School of Education
- Applications in the social sciences with particular emphasis on political science, text data, and education.
- Causal effect analysis and graphical models.
- High-dimensional and sparse-regression methods.
- Non-parametric analysis of randomized experiments.
- Random effect models.
- Ph.D. in Statistics, University of California at Berkeley, June 2012.
- M.A. in Computer Science, M.I.T., June 1999.
- B.S. in Computer Science, California Institute of Technology, Dec 1996.
- B.A. in Mathematics, Reed College, Dec 1996.
- July 2012 -- now, Assistant Professor of Statistics, Harvard University
- 2004 - 2007, High-School Mathematics Teacher, Sonoma Academy, Santa Rosa, CA
- 1999 -- 2004, High-School Mathematics Teacher, The Commonwealth School, Boston, MA
- Miratrix, L.W., Sekhon, J.S., Yu, B. (2012). Adjusting treatment effect estimates by post-stratification in randomized experiments. Journal of the Royal Statistical Society, Series B, in press.
- Heller, J.I., Daehler, K.R., Wong, N., Shinohara, M., & Miratrix, L.W. (2012). Differential effects of three professional development models on teacher knowledge and student achievement in elementary science. Journal of Research in Science Teaching, in press.
- Gawalt, B., Jia, J., Miratrix, L.W., Ghaoui, L., Yu, B., & Clavier, S. (2010). Discovering word associations in news media via feature selection and sparse classification. In Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval.
- Miratrix, L.W., Stark, P.B. (2009). Election audits using a Trinomial Bound. IEEE Transactions on Information Forensics and Security, 4(4) 974-981.