Dr. Jean-Francois Chamberland conducts research in information theory, statistical signal processing, probability, and in their applications to communication and control systems. His current research focuses on statistical problems in the context of wireless communications, networks, autonomous vehicles, and learning. He is also interested in the topics of vector space methods and optimization with possible applications to classification, biological systems, and societal challenges. Furthermore, he seeks to develop algorithms, techniques, and paradigms that permit the analysis and the design of complex systems.