Peter Mohanty has been chosen as the Science Education Fellow in Statistics, effective August 1st. The Science Education Fellowship is designed to support faculty in implementing an effective transition of statistics courses to a modern active learning format and to improve undergraduate education in STEM fields through active learning. Pete will join a cohort of Science and Engineering Education Fellows in departments throughout campus.
Pete is presently a Thinking Matters Fellow at Stanford, but his graduate work began at the University of Texas at Austin with a master’s degree from the Department of Statistics & Scientific Computation and a PhD from the Department of Government. His dissertation adapted Bayesian Markov chain Monte Carlo techniques to the study of comparative political behavior. His research has focused on the politics of immigration in the European Union with areas of specialization that include quantitative methods such as Bayesian MCMC, nonparametrics, and data science. His study of public opinion towards immigration combines interests in quantitative research methods and normative political theory.
Since coming to Stanford in 2014, Pete has co-taught three quarters each of the Thinking Matters courses "Breaking Codes, Finding Patterns" with Susan Holmes for the Statistics Department and "Why So Few? Gender Diversity & Leadership" with Shelley Correll in the Department of Sociology, as well as two quarters of "Century of Violence" with Amir Weiner in the Department of History. He taught the Spring 2017 Sophomore Seminar, "Immigration Crisis? Policy Dilemmas in the US and Europe", with the Political Science Department. Last year, Pete was a guest lecturer on the topic "Political Bayes" for STATS 371 (Bayesian Statistics II) taught by Persi Diaconis, Chiara Sabatti, and Wing Wong.
Please join us in welcoming Pete to Sequoia Hall.