Chris Grubb

Chris Grubb is a Ph.D. student in the Department of Statistics.  His advisor is Leanna House.
Grubb’s research focuses on developing a statistical learning method of population synthesis that allows for propagation of uncertainty from sample data into synthetic populations of agents.
Ph.D Student
Research Areas:
  • Uncertainty Quantification
Web site