Invited Talk at Caltech: Embodied Eyes for Science
Invited Talk at Redwood Center: Embodied Eyes for Science
Accepted at BMM Summer Course 2025::Very excited to spend time at Woodshole this summer!
Invited Talk at MIT Imagination in Action: What-If Machines for Science: How can AI aid scientific discovery?
Invited Talk at Harvard Medical School: What if Eye...? Computationally Recreating Vision Evolution
Invited Talk at CSAIL Vision Seminar: What if Eye...? Computationally Recreating Vision Evolution
Featured in Hacker News: Evolving Eyes for AI.
Featured in MIT Technology Review: Article on our work on the origin of data used to build AI models was featured in the MIT Technology Review.
Oral Talk at New England Computer Vision Conference: Talk on Eye paper
Co-organizing Neural Fields Workshop at ECCV: Co-organizing "Neural Fields Beyond Conventional Cameras" at ECCV 2024
Interview for Globe and Mail: “This is where the data to build AI comes from”
Co-organizing Accelerating Discovery Workshop at MIT
Gave a TEDx Talk: Can AI Recreate 500 Million Years of Vision Evolution?
Featured in NYT, 404 Media, Vox, Yahoo! Finance: Consent in Crisis Coverage
Accepted at ECCV 2024: "DecentNeRFs"
June 2024, [
Paper]
#Paper
Panelist at MIT Imagination in Action: Panelist on "Frontiers of AI Research from Current MIT PhDs"
UROP Admitted to PhD: One of my UROPs (Bhavya Agrawalla) got admitted to CMU for his PhD- follow his work for more exciting new ideas!
Awarded MIT Generative AI Grant: Awarded grant for "Artificial Cambrian Intelligence"
Invited Talk at CSAIL Graphics Seminar:
Talk in CSAIL Graphics Seminar Neural Rendering and Secondary Cues: Learning Hidden Neural Radiance Fields using Reflections and Shadows. (slides)
September 2023, [
slides]
#Talk
Presented at Hyundai Vision Conference: Work on 3D reconstruction with Visual Cues was presented at the Hyundai Vision Conference in South Korea!
Awarded Qualcomm Innovation Fellowship: Recipient of the Qualcomm Innovation Fellowship.
Accepted at ICCV'23 DiSer: Designing Imaging Systems through Reinforcement Learning, is accepted at ICCV.
Featured in MIT News: Our Project on using household objects as cameras has been featured on the front page of mit.edu!