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Gee Lee is an associate professor in actuarial science at Michigan State University. His current research interests include insurance loss modeling, rate-making, loss reserving applications, optimization of multivariate insurance coverage, and dependence modeling. He applies machine learning methods to various problems in actuarial science. Ongoing projects focus on applying deep neural networks to rate-making and loss reserving, as well as optimizing insurance coverage based on multivariate data. Lee has contributed significantly to the field through his innovative approaches, particularly in analyzing unstructured data.
Department of Psychology