Get to Know Me
My work impacts society...
By creating open information on human wellbeing where that data does not exist today.
Another researcher I admire...
Something I learned in my research this year that surprised me...
The capability of convolutional deep learning models to tabular non-imagery data
The book(s) currently on my nightstand...
Name of the Wind by Patrick Rothfuss
The College of William & Mary
Data Poisoning and Satellite Imagery
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.
Runfola is an assistant professor of Data Science and Applied Science at The College of William & Mary, currently working at the nexus of deep learning and satellite imagery analysis.