Romeil Sandhu is currently an Assistant Professor at Stony Brook University with appointments in Computer Science, Biomedical Informatics, and Applied Mathematics & Statistics Departments and is the recipient of the 2018 AFOSR YIP Award for work on interactive feedback control for autonomous systems and 2018 NSF CAREER Award for work on geometric optimization of time-varying networks. Romeil first received his B.S. and M.S. degrees from the Georgia Institute of Technology in Electrical Engineering in 2006 and 2009, respectively. Then, under the direction of Professor Allen Tannenbaum, he completed his Ph.D. in 2011 in control based vision and learning. Prior to his academic position at Stony Brook, he formed a startup providing government services leading to a successful exit. His current research interest lies on the intersection of control, geometry, and statistics applied to problems rooted in networks, imaging, and learning in order to bridge the information gap (i.e., “closing the loop”) of intractable high dimensional statistical optimization problems.