Sudipto Banerjee

Bio: Sudipto Banerjee, Ph.D., is a Professor in the Department of Biostatistics and in the Department of Statistics & Data Science with an affiliate appointment in the UCLA Institute of the Environment and Sustainability. His research expertise includes Bayesian inference and statistical machine learning methods for complex systems involving massive datasets (“BIG DATA”); environmental processes and their impact on public health; spatial data science; spatial epidemiology; stochastic process models; statistical learning from physical and mechanistic systems; survey sampling and survival analysis. He has authored or co-authored over 200 peer-reviewed research articles; an authoritative textbook on spatial statistics; a textbook on linear algebra for statisticians; an edited comprehensive handbook on spatial epidemiology; and two committee reports for the National Research Council of the National Academies.