Dan Runfola

Director, Data Science Program | Assistant Professor, Applied Science

Office: ISC 1269
Email: [[w|dsmillerrunfol]]
Webpage: {{http://www.danrunfola.com}}

Areas of Specialization

Computational Geography, Human-Environment Relations

Background

Dr. Daniel Runfola is the director of the Data Science Program at William and Mary.  Additionally, Dan holds roles as AidData’s Senior Geospatial Scientist and is an Assistant Professor of Applied Science at William & Mary. His research focuses on the use of satellite data and machine learning to understand the impacts of international aid.  Previously, Dan worked on research projects for the National Center for Atmospheric Research and the US Army Corps of Engineers examining the use of Geographic Information Science (GIS) in climate-change related decision making. He has published in a number of high-profile outlets, including Nature and contributions to the United Nation's Intergovernmental Panel on Climate Change fifth assessment report. 

Education
  • B.A., Georgia State University
  • Ph.D., Clark University