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Donatello Telesca received his PhD in Statistics from the University of Washington and completed a two-year postdoctoral fellowship at the University of Texas M.D. Anderson Cancer Center. His research interests include Bayesian methods, multivariate statistics, functional data analysis, and statistical methods in bio-nano-informatics. Telesca's work in multivariate Bayesian analysis is focused on the application and extension of graphical modeling techniques to high-dimensional 'omics' data. He has tackled issues of model determination from both applied and theoretical perspectives. His investigations into highly structured multivariate observations extend into the field of nano-informatics, where he has worked on formulating statistical approaches for Quantitative Structure-Activity Relationship models. In his functional data analysis research, Telesca has concentrated on stochastic models that target the timing of latent events and time-warping, with applications seen in bioinformatics and criminology. He is a member of the California NanoSystems Institute and the UCLA Jonsson Comprehensive Cancer Center.
Department of Economics admits primarily for the PhD program.