Chaudhuri obtained his BStat and MStat degrees from the Indian Statistical Institute, Kolkata, and PhD from University of California, Berkeley. He then joined University of Wisconsin, Madison as an assistant professor in 1988. After two years he returned to India in 1990 and joined the Indian Statistical Institute, Kolkata, as a lecturer. He was promoted to full professorship in 1997. Some of the widely used statistical techniques and concepts that he has invented and developed include: local polynomial nonparametric quantile regression, a geometric notion of quantiles for multivariate data, adaptive transformation and re-transformation technique for the construction of affine invariant distribution-free tests and robust estimates from multivariate data and the scale-space approach in function estimation and smoothing.
