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.

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Team Members

Ziv Attar

Tom Bishop, Ph.D.

Mike Chang

Doug MacEwen

Cole Cogswell

Jasper Tan, Ph.D.

Jeremy Wegener

Manuel Kolmet

Vishal Vinod

Pranav Garg

Shivansh Rao

Laurent Gudemann

Neerja Aggarwal, Ph.D.

Bernard Suwirjo

Aram Danielyan, Ph.D.

Tapio Manninen, Ph.D.

Lasse Lampinen

Hao Ban