I am a 2nd year PhD student in the Camera Culture group at the MIT Media Lab, advised by Ramesh Raskar.
I also work with Brian Cheung and Tomaso Poggio's group.
I recieved my S.M'23 from MIT and BS'19 ECE from Univeristy of Illinois at Urbana-Champaign.
Computational Discovery
What if Eye...? Computational Recreating the Evolution of Vision
Tldr:
We created a virtual petri dish where digital creatures evolve eyes from scratch, replaying millions of years of evolution.
with Aaron Young, Dan-Eric Nilsson, Tomaso Poggio, Brian Cheung, Ramesh Raskar
Generative Design of Visual Intelligence
Tldr:
Can we use biological principles (natural evolution) to 1) Study Vision Evolution and 2) Design new forms of vision?
with Aaron Young, Brian Cheung, Dan-Eric Nilsson, Tomaso Poggio, Ramesh Raskar
DISeR: Designing Imaging Systems with Reinforcement Learning
Tldr:
Can we use reinforcement learning to design new imaging systems?
with Tzofi Klinghoffer*, Nikhil Behari, Bhavya Agrawalla, Ramesh Raskar
Computer Vision & Machine Learning
Bridging the Data Provenance Gap Across Text, Speech, and Video
Tldr:
Largest and first-of-its-kind longitudinal audit of text, speech, and video datasets used to train AI models
with Shayne Longpre, Nikhil Singh, Manuel Cherep, Joanna Materzynska, Sara Hooker, Jad Kabbara
DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images
Tldr:
Can we use crowdsourced images to create 3D models of the world?
with Zaid Tasneem, Akshat Dave, Ashok Veeraraghavan, Ramesh Raskar
Objects as Radiance Field Cameras
Tldr:
Can we convert arbitrary objects into cameras to recover 3D?
with Akshat Dave, Nikhil Behari, Ramesh Raskar
Dec 2024: Article on our work on the origin of data used to build AI models was featured in the
MIT Technology Review.
Sep 2024: Submitted our paper "Bridging the Data Provenance Gap Across Text, Speech, and Video" to ICLR 2025.
Sep 2024: Gave a
TEDx Boston talk on the topic of
Can AI Recreate 500 Million Years of Vision Evolution?.
Jun 2024: Our paper "DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images" was accepted at ECCV 2024.
Apr 2024: Participated in the panel discussion
"Frontiers of AI Research from Current MIT PhDs" at the Imagination in Action event at MIT, available on
YouTube.
Mar 2024: On the student search committee for the AI & Human Experience Faculty Search.
Jan. 2024: Awarded an MIT Generative AI grant to research
Generating New Forms of Visual Intelligence, as featured in
MIT News.