Dan Runfola

A Geographer @ William and Mary


  • Office: ISC 1269 (Lab: ISC 1109)
  • Office Hours: By Appointment (Spring 2019)
  • 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. His research focuses on the intersection between large-scale spatial data, measurement imprecision, simulation and machine learning. Additionally, he leads the GeoQuery research project, a joint Ph.D. and undergraduate lab which develops new geocomputational methods for the processing of large-scale spatial datasets in highly parallelized environments.

Course Information

  • Data Science:
  • 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