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Gee Lee is an associate professor in the Department of Statistics and Probability and the Department of Mathematics at Michigan State University. His current research interests encompass various aspects of actuarial science, including insurance loss modeling, rate-making, loss reserving applications, optimization of multivariate insurance coverage, and dependence modeling. He is actively engaged in ongoing projects that apply deep neural networks to enhance rate-making and loss reserving processes. Additionally, he analyzes unstructured data to improve multivariate insurance coverage optimization. His work aims to innovate methods that refine actuarial practices and improve outcomes in the insurance sector.
Department of Psychology