Leading Expert in Applied Bayesian Statistics at UC Santa Cruz
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Herbert Lee is a Professor of Statistics in the Jack Baskin School of Engineering at the University of California, Santa Cruz, where he also serves as Vice Provost for Academic Affairs. He earned his B.S. in Mathematics from Yale University and both his M.S. and Ph.D. in Statistics from Carnegie Mellon University. After completing a postdoctoral fellowship at Duke University, he joined the UCSC faculty in 2002. As an applied Bayesian statistician, his research interests encompass computer simulation experiments, inverse problems, optimization, spatial statistics, classification and clustering, and neural networks. He has authored two books, Bayesian Nonparametrics via Neural Networks and Multiscale Modeling: A Bayesian Perspective (co-authored with Marco Ferreira), along with a variety of academic papers.