I am the Eliot Horowitz Assistant Professor of Computer Science at Brown University, where I co-lead the Brown Visual Computing group. My research sits at the intersection of computer graphics, artificial intelligence, and machine learning: I build intelligent machines that understand the visual world and help people be visually creative. Much of my group's current work focuses on analyzing, synthesizing, and manipulating 3D scenes and the 3D objects that comprise them. My research is funded by gifts from Adobe, Autodesk, Pixar, and NVIDIA, as well as grants from DARPA and the National Science Foundation, including an NSF CAREER Award.

I received my PhD from Stanford University, where I worked with Pat Hanrahan in the Graphics Lab and with Noah Goodman in the Computation and Cognition Lab. I received my undergraduate degree from the University of California, Berkeley.

My Erdős number is 4 (Daniel Ritchie → Niloy Mitra → Leonidas Guibas → Boris Aronov → Paul Erdős). My Bacon number is 3, though only if you count all film credits, not just cast appearances (Daniel Ritchie → John Lasseter → Tom Hanks → Kevin Bacon). This (debatably) makes my Erdős-Bacon number 7.

News
December 2023
Applications are open for our NSF summer REU site, Artificial Intelligence for Computational Creativity! The application deadline is February 2.
November 2023
New song out today on Spotify!
October 2023
My department is hiring in visual computing this year! Apply here. I'm co-chairing the search, so feel free to reach out if you have any questions.
October 2023
New paper on 3D shape retrieval (led by awesome collaborators at SFU) accepted to 3DV 2024!
October 2023
Applications are now open for the Spring 2024 edition of our exploreCSR program, Socially-Responsible Artificial Intelligence!
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Publications