is a Ph.D. candidate in the Department of Electrical Engineering and Computer Science at the University of Michigan. He works with Prof. Jeffrey A. Fessler and Dr. Jon-Fredrik Nielsen on data acquisition, image reconstruction, and parameter estimation problems in magnetic resonance imaging (MRI).
Broadly, Gopal's research interests focus on adapting ideas in signal processing, statistical machine learning, and optimization towards modeling and interpretation of physical systems for practical applications. His thesis work develops algorithms for informative data acquisition and scalable image reconstruction in quantitative MRI and applies these algorithms to myelin imaging. His previous work has characterized metamaterial emission kinetics for quantum-optical applications and vibration mechanics for active control of high-precision laser systems.
In his spare time, Gopal enjoys teaching topics in physics, mathematics, and electrical engineering to students with a broad array of backgrounds. Gopal is an amateur singer, snowboarder, tennis player, and photographer; he is always eager to meet and learn from fellow enthusiasts.