Assistant Professor, Statistics, College of Arts and Sciences
Dr. Asta’s research interests include network inference and non-parametric methods on non-Euclidean spaces. Network inference aims to give statistically rigorous methods of analyzing and comparing brain networks, collaboration networks, and other real-world networks. Non-parametric methods on non-Euclidean spaces adapts non-parametric methods of inference to data that naturally lives in spaces other than Euclidean space; such data for example arises in brain imaging, astrostatistics, and radar tracking.
Department: Statistics, College of Arts and Sciences