Jonathan Ragan-Kelley is the Esther and Harold E. Edgerton Assistant Professor of Electrical Engineering & Computer Science at MIT and assistant professor of EECS at UC Berkeley. He works on high-efficiency visual computing, including systems, compilers, and architectures for image processing, vision, 3D rendering, simulation, and machine learning. He is a recipient of the ACM SIGGRAPH Significant New Researcher award, NSF CAREER award, Intel Outstanding Researcher award, and two CACM Research Highlights. He was previously a visiting researcher at Google, a postdoc in Computer Science at Stanford, and earned his PhD in Computer Science from MIT in 2014. He co-created the Halide language and has built more than a half-dozen other DSL and compiler systems, the first of which was a finalist for an Academy technical achievement award.
The shared mission of Visual Computing is to connect images and computation, spanning topics such as image and video generation and analysis, photography, human perception, touch, applied geometry, and more.
