Contributor

Rohan Sawhney is a Senior Research Scientist in Nvidia's High Fidelity Physics group. He earned his PhD in Computer Science at Carnegie Mellon University under Keenan Crane. His research focuses on developing efficient and reliable Monte Carlo algorithms inspired by photorealistic rendering for PDE-based geometric computing, eliminating the need for volumetric mesh generation. Rohan has received Best Paper and Dissertation Awards at SIGGRAPH and CMU for his work on Monte Carlo PDE solvers, as well as a Symposium on Geometry Processing Best Software Award for Boundary First Flattening, an application to quickly and robustly generate UV maps.