Jay Shenoy

I recently graduated from UC Berkeley with a master's in computer science. Over the years, I've been fortunate enough to work under Ren Ng on research in computational imaging and Edward Kim on problems in autonomous vehicle simulation.

During my time at Cal, I was part of the multimedia team at our campus paper, a member of Extended Reality, and part of the Cinematic Arts and Production Club.

Outside of school, I enjoy reading, filmmaking, and writing creative fiction.

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Optimization Methods for Tracking and Mapping the Human Retina
MS Thesis, 2022

Retina tracking and mapping in 2D and 3D.

Querying Labelled Data with Scenario Programs for Sim-to-Real Validation
Edward Kim, Jay Shenoy, Sebastian Junges, Daniel Fremont, Alberto Sangiovanni-Vincentelli, Sanjit Seshia
International Conference on Cyber-Physical Systems (ICCPS), 2022
Best Paper Award Nominee

Searching car-mounted image datasets using a domain-specific language.

R-SLAM: Optimizing Eye Tracking From Rolling Shutter Video of the Retina
Jay Shenoy*, James Fong*, Jeffrey Tan, Austin Roorda, Ren Ng
ICCV, 2021

State-of-the-art eye tracking and mapping at the cellular scale.

Work Experience
Snap Inc.
Research Intern, Summer 2021
• Computational imaging research under Guru Krishnan and Prof. Shree Nayar.
Software Engineering Intern, Summer 2019
• Developed internal API for image similarity search, leveraging backend ML systems.
• Added similar photos section to the FB Android app’s photo viewer as a prototypical use case for API.
Verizon Connect
Software Engineering Intern, Summer 2018
• Developed microservices for vehicle REST APIs to help migrate legacy architecture to AWS.
• Created proof-of-concept embedded blockchain application to stream real-time vehicle logs to a decentralized server.

Portrait Relighting

Relighting a portrait photo to match a target with geometry-aware illumination.


Inserting virtual objects into real photographs using inverse rendering techniques.


Pathtracing with mirror/glass/microfacet materials, environment maps, and camera effects.

Site template courtesy Jon Barron