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Sudipto Banerjee is a Professor in the Department of Statistics and Data Science at UCLA Fielding. He has extensive research expertise in Bayesian inference, statistical machine learning methods, and complex systems related to big data. His work also focuses on environmental processes impacting public health, spatial data science, and statistical learning. Dr. Banerjee has contributed significantly to several federally funded research projects and has developed widely employed methods in epidemiological research. He has published extensively in peer-reviewed journals and has authored influential textbooks and handbooks in spatial statistics. His pioneering contributions have greatly advanced the understanding of environmental factors affecting health through innovative statistical methods. Dr. Banerjee has been recognized with many awards and honors, including being elected as a Fellow of various esteemed statistical organizations.
Department of Economics admits primarily for the PhD program.