Jayanth Jagalur-Mohan is a research scientist in the Department of Aeronautics and Astronautics at MIT, and is affiliated with the Uncertainty Quantification Group. His research is broadly in the areas of Bayesian methods, statistical inference, machine learning, and experimental design. His work focuses on developing novel algorithms motivated by a variety of complex physical systems, and he is also interested in studying the theoretical limits of such computational methodologies. Within the CESMIX project, his efforts are focused on various aspects related to Uncertainty Quantification and active learning thrust.