Postdoctoral Research Assistant in the Department of Statistics, and Junior Research Fellow in Computer Science

Academic background 

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.

Research interests

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.