Dan Runfola

Assistant Professor, Applied Science | Sr. Geospatial Scientist, AidData

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

Areas of Specialization

Computational Geography, Human-Environment Relations, Geospatial Analysis

Background

Dr. Daniel Runfola is an Assistant Professor of Applied Science at William & Mary. Additionally, Dan holds a role as AidData’s Senior Geospatial Scientist. 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