Dan Runfola

A Geographer @ William and Mary


  • Office: ISC 1269 (Labs: ISC 1109, ISC 1252)
  • Office Hours: Tuesday and Thursday 1530 - 1700
  • Office Phone: 1-757-221-1970
  • Email: danr@wm.edu
  • Web: http://DanRunfola.github.io
  • Mailing Address:
  • Department of Applied Science
  • College of William and Mary
  • Williamsburg, VA 23187-8795, USA


Dan Runfola is an assistant professor of Applied Science at William and Mary.  Dan has served as PI on over $2 million dollars of funded research at the nexus of machine learning, imagery analysis, and climate change.   His core expertise is in the applied use of machine learning to analyze spatial data - both for imagery classification and for causal attribution.  In addition to 35+ peer reviewed academic publications in high profile outlets including Nature, Dan has published numerous policy-oriented reports with the US Army Corps of Engineers, Global Environment Facility, World Bank, and as a contributor to the United Nation's Intergovernmental Panel on Climate Change.  At William and Mary, Dan served as the inaugural director of the Data Science Program, and is currently the PI of the Geospatial Evaluation and Observation Lab (geoLab).

Course Information

  • Data Science:
  • DATA 146 - Introduction to Data Science (Reasoning Under Uncertainty) (syllabus)
  • DATA 201 - Data Driven Decisionmaking (syllabus)
  • DATA 100 - Breaking Intuition (syllabus)
  • DATA 490 - Independent Research in Data Science (syllabus)
  • Applied Science:
  • APSCI 691 - Applied Machine Learning (syllabus)

Student Advising and Research