Gee Lee

Associate Professor, Department of Statistics & Probability
Associate Professor, Department of Mathematics
Location: C337 Wells Hall
Profile photo of  Gee Lee
Photo of: Gee Lee

Bio

**Statistically grounded AI for decision-making under uncertainty**
I develop responsible and interpretable AI and predictive modeling methods with applications in actuarial science, finance, and risk analytics. My research integrates representation learning, dependence modeling, and Bayesian approaches to support transparent, reliable, and defensible decisions under uncertainty. 

**Education**
* PhD, University of Wisconsin-Madison 
* Associate member (ASA) of the Society of Actuaries

Courses

  • MTH 361: Financial Math for Actuaries I
  • MTH 459: Const & Eval Actuarial Models
  • STT 459: Const & Eval Actuarial Models