Undergraduate: BA in Computer Science and Mathematics from Harvard University.
Graduate: PhD in Machine Learning and Public Policy from Carnegie Mellon University.
Undergraduate teaching areas
Machine learning and statistics.
Graduate teaching areas
Bayesian statistical machine learning, hierarchical modelling, spatiotemporal statistics.
Scalable methods for spatiotemporal statistics and Bayesian machine learning, applied to public policy / social science areas including crime, emotion, and public health.
Hobbies and other interests
Parenting my daughter, speaking Yiddish, playing clarinet.