His research involves the design of optimal and implementable signal processing algorithms using probability principles (Bayesian methods), with wide application. As a Fulbright scholar, he will join the laboratory of Michael Jordan at UC Berkeley, focusing on problems where Bayesian signal processing and machine learning meet.