Dan Runfola
Current University
The College of William & Mary
Research Area
Data Poisoning and Satellite Imagery
Research Summary
Dan Runfola works with federal agencies and international NGOs to develop new and secure ways to measure, predict, and improve human wellbeing at micro to macro scales.
Background
Runfola is the Adina Allen Term Distinguished Associate Professor of Data Science at William & Mary, currently working at the nexus of deep learning and satellite imagery analysis. He works with federal agencies and international NGOs to develop new and secure ways to measure, predict, and improve human wellbeing at micro to macro scales. In collaboration with his wonderful students in the geoLab, he also helps to provision critical baseline data to the opensource community to improve data equality around the world.
Alma Mater
Clark University