Published blog posts on topics such as generators vs. verifiers for scientific discovery, Computer Vision 2.0, ingredients of modern perception, etc. Exhibited works at the MIT Museum and the Museum of Science. Participated in multiple seminars and TEDx talks.
Research Experience
Third-year Ph.D. student in the Camera Culture group at the MIT Media Lab, advised by Ramesh Raskar. Also works with Brian Cheung and Tomaso Poggio's group. Prior to MIT, worked on vision and robotics and built the Software 2.0 stack at a self-driving startup called Optimus Ride.
Education
Received S.M. in 2023 from MIT, working on 3D vision and imaging, specifically incorporating realistic physics of light propagation into neural rendering. Received B.S. in ECE in 2019 from the University of Illinois at Urbana-Champaign.
Background
Research Interests: Artificial intelligence, computer vision (and its science), evolution, and reinforcement learning. Overview: Current research aims to create rich, physics-grounded worlds where AI agents interact and evolve, discovering visual strategies that give rise to intelligent behavior. The goal is to understand and design intelligence in both science and AI by letting it emerge through embodiment and interaction.
Miscellany
Passionate about public engagement and science advocacy. Recently demonstrated how AI can be more than just a tool for automation but also used to understand human and animal perception.