Director, Institute for Research in Statistics and its Applications (IRSA)
My research interests include Data Science theory, methods and algorithms and Big Data applications to neuroimaging, climate sciences, social sciences, and networks and graphs. I primarily work on conditional statistical inferential and predictive methods like resampling techniques, Bayesian statistics and empirical likelihood methods that simultaneously obtain quantities of interest and related uncertainties and error bounds. A related topic that I am currently interested in in the context of high-dimensional and infinite-dimensional problems is on development of conditional statistical methodology that are nearly optimal both from computational as well as statistical perspectives.