Congratulations to Luke Miratrix, Assistant Professor of Education, Harvard Graduate School of Education and Statistics Department Affiliate. Luke has been awarded a 2019 Everett Mendelsohn Excellence in Mentoring Award. The award highlights mentors who help their graduate advisees thrive at Harvard. Graduate students nominate faculty for the award, and winners are chosen by a Harvard Graduate Student Council selection committee.
The Faculty of the Department of Statistics is delighted to report that Pragya Sur will be joining us as an Assistant Professor of Statistics from 1 July 2020. She will be spending 2019-20 working as a post-doc with Professor Cynthia Dwork at Harvard. Pragya is currently a Ph.D. student at Stanford University. Pragya works on high-dimensional statistical inference, variable selection, causality, and fairness in machine learning algorithms.
The Faculty of the Department of Statistics is delighted to report that Dr. Subhabrata Sen will be joining us as an Assistant Professor of Statistics from 1 July 2019. He is currently Schramm Postdoctoral Fellow at Microsoft Research NE and MIT Mathematics. Dr. Sen received his Ph.D. from Stanford University in 2017. Subhabrata work covers statistics, machine learning and applied probability. He has recently been focusing on models for random graphs and contagion models on social networks.
Professor Neil Shephard will be chair of the Department of Statistics at Harvard from 1 July 2019. He will take over from Professor Sam Kou who has ably led the Department through the 2018-2019 academic year while Professor Shephard has been on sabbatical. Neil Shephard is Frank B. Baird Jr, Professor of Science, Harvard University, holding professorships in the Department of Economics and Department of Statistics. He was chair of the Statistics Department at... Read more about Statistics Department Chair
Professor Susan Murphy has won this year's Guy Medal in Silver.
From the Royal Statistical Society: "The Guy Medal in Silver is awarded to Susan Murphy for her methodological, computational and applied work on dynamic treatment regimens. Susan’s influential JRSSB paper in 2003 on Optimal Dynamic Treatment Regimens proposed a methodology for estimating decision regimens that result in a maximal mean response, consistent with an elegantly-defined regret function and for use with experimental or observational data. Substantial follow-up work on multi-stage decision...