Shravan Veerapaneni

Dr. Veerapaneni’s expertise is in numerical analysis, high-performance computing and computational physics. His primary research interests are in developing fast algorithms for a variety of computational problems including cellular-level blood and other particulate flows, heat flow and grain-to-vehicle level high-fidelity simulation of autonomous vehicles. His work was funded by the NSF, Simons Foundation and ARC. He is a recipient of the NSF CAREER Award, the Ralph E. Powe Junior Faculty Award, and the ACM Gordon Bell Prize. Stokes’ expertise lies in quantum computing, quantum many-body physics and machine learning. His research focuses on neural-network representations of quantum states for scientific computing applications including chemistry, physics and finance.