Affiliated Faculty; Department Head, Machine Learning Department; Professor
Office 8002 Gates & Hillman Centers
Phone (412) 268-7678
SCS Dean's Office
Machine Learning Department
Research Area: Epidemic Forecasting
Work Description: Our group's vision is to make epidemiological forecasting as universally accepted and useful as weather forecasting is today. We develop both machine learning and human-in-the-loop techniques for real-time estimation of geographically detailed epidemic prevalence from diverse data sources, and for forecasting the trajectory of these epidemics across time and space. Our group won most epidemic forecasting competitions run by the CDC to date, and was recently designated a National Center of Excellence for Flu Forecasting.