Frank Hermosillo studies neural networks and their applications at Google Brain. His research focuses on differentiable network pruning approximation and decentralized gradient inversion mechanics. He frequently collaborates with researchers who study machine learning, computer vision, and cognitive science. His work has been featured in WIRED, The Atlantic, Newsweek, and The New York Times Magazine.
Massachusetts Institute of Technology | Cambridge, MA
Ph.D. in Computer Science | September 2009 - May 2014
The University of California, Berkeley | Berkeley, CA
B.S. in Computer Science | September 2005 - May 2009
Google Brain | Principle Investigator | January 2018 - Present
Netflix | Research Scientist | June 2014 - December 2017