- probabilistic forecasting
- statistical methods for correlated and/or sparse data
- inference using nontraditional data sources
Before joining the BayesPop Project, I was a Lead Data Scientist in the Information Technology division at the MITRE Corporation. I earned an M.S. in Mathematics and statistics from Georgetown University and B.S. in Mathematics from the University of Alabama at Birmingham. |