Daniel Runfola
Associate Professor of Applied Science and Director of Data Science
Research Area:
Computational Geography, Human-Environment Relations, Geospatial Analysis
Phone:
757-221-1970
Email:
[[danr]]
Webpage:
{{http://www.danrunfola.com/}}
Office:
Integrated Science Center #0261
Research Interests
I am an assistant professor of Applied Science at William and Mary, currently working at the nexus of machine learning and satellite imagery analysis. I work with federal agencies and international NGOs to develop new and secure ways to measure, predict, and improve human well-being at micro to macro scales. In collaboration with my wonderful students in the geoLab, I also help to provision critical baseline data to the opensource community to improve data equality around the world.
- Serving as Director of our Data Science Program.
- Supporting my undergraduate and Ph.D. students' research through the geoLab.
- Coding for the geoBoundaries Open Administrative Boundaries dataset
- Publishing some good ideas, burning CPU cycles on bad ones.
- A range of projects exploring how novel neural network architectures can aid us in extracting data from satellites. I.e., "playing with fancy videocards".
- Forgetting to update my CV
If you are reading this page, please note that I am always looking for good Ph.D. students! Good at Python, interested in computer vision and satellite data? Like Williamsburg when you came as an elementary school student? Email me!
