# Jingxi Li, Ph.D. ## Deep Optics Lead About Jingxi specializes in blending AI capabilities with optical design and image recovery algorithms to elevate mobile imaging technology. Holding a B.S. in Optical Engineering from Zhejiang University and a Ph.D. in Electrical and Computer Engineering from UCLA, his research in deep learning-based computational imaging has been recognized in journals such as Nature Communications, Science Advances, and Advanced Materials. By staying at the forefront of research and leveraging his problem-solving skills, Jingxi is committed to develop AI-based deep optics tools for next-generation smartphone cameras. These developments enable the co-design of optics and ISP modules to deliver unprecedented smartphone imaging capabilities that bridge the gap to professional cameras. Photos by Jingxi Li, Ph.D. [Full VIEW \\grid View](/content/team/jingxi-li#/index.html) ### Team Members [Ziv Attar](/content/team/ziv-attar/index.html) [Tom Bishop, Ph.D.](/content/team/tom-bishop/index.html) [Mike Chang](/content/team/mike-chang/index.html) [Doug MacEwen](/content/team/doug-macewen/index.html) [Cole Cogswell](/content/team/cole-cogswell/index.html) [Jasper Tan, Ph.D.](/content/team/jasper-tan-ph-d/index.html) [Jeremy Wegener](/content/team/jeremy-wegener/index.html) [Manuel Kolmet](/content/team/manuel-komet/index.html) [Vishal Vinod](/content/team/vishal-vinod/index.html) [Pranav Garg](/content/team/pranav-garg/index.html) [Shivansh Rao](/content/team/shivansh-rao/index.html) [Laurent Gudemann](/content/team/laurent-gudemann/index.html) [Neerja Aggarwal, Ph.D.](/content/team/neerja-aggarwal/index.html) [Bernard Suwirjo](/content/team/bernard-suwirjo/index.html) [Aram Danielyan, Ph.D.](/content/team/aram-danielyan/index.html) [Tapio Manninen, Ph.D.](/content/team/tapio-manninen/index.html) [Lasse Lampinen](/content/team/lasse-lampinen/index.html) [Hao Ban](/content/team/hao-ban/index.html)