Andrew Nobel will be presenting a guest talk titled "Variational Analysis of Empirical Risk Minimization" on Friday, October 12, 2018.
Andrew Nobel is a Professor in the Department of Statistics and Operations Research, and the Department of Biostatistics, at UNC Chapel Hill. After receiving his undergraduate degree in Electrical Engineering from Cornell University, he spent a year at Cambridge University studying mathematics as a Churchill Scholar. He received his Ph.D. in Electrical Engineering from Stanford University in 1992. From 1992-1994 he was a Post-Doctoral Fellow at the Beckman Institute for Advanced Science and Technology at the University of Illinois Urbana-Champaign.
Nobel’s research interests include network analysis, statistical genomics, machine learning, and inference from dynamical systems. His work has appeared in the Annals of Statistics, Genetic Epidemiology, the Annals of Applied Statistics, the Annals of Probability, and the Journal of Machine Learning Research. Nobel is a member of the UNC Lineberger Comprehensive Cancer Center, and is UNC Principal Investigator of NIH Genotype-Tissue Expression Consortium. He was a co-coordinator and faculty fellow for SAMSI programs on infectious diseases, and high dimensional systems. Nobel is on the Editorial Board of the Annals of Statistics. He is the recipient of an NSF CAREER award, and is a Fellow of the IMS.