Daniel Runfola

Dan is an associate professor of Data Science and Applied 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 students in the geoLab, he also helps to provision critical baseline data to the opensource community to improve data equality around the world.