I am an Assistant Professor of Computer Science at Brown University, where I co-lead the Brown Visual Computing group. In my research, I’m broadly interested in the intersection of computer graphics with artificial intelligence and machine learning: I build intelligent machines that understand the visual world and can help people be visually creative. This entails developing technologies that do things such as:

Much of my group's current work focuses on analyzing, modeling, and synthesizing 3D scenes and the 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.

March 2021
One new paper conditionally accepted to SIGGRAPH 2021!
March 2021
Xianghao Xu's paper (with Autodesk research) on inferring CAD modeling sequences was accepted to CVPR 2021.
February 2021
I'll be speaking at the 3DGV Seminar this Wednesday 2/17 at 2pm EST. It'll be live-streamed on YouTube and available to watch afterwards.
November 2020
Do you work in deep learning? Like Billy Joel songs? Check out the end-of-semester song from Brown's deep learning course.
November 2020
Applications are now open for our new exploreCSR program, Socially-Responsible AI for Computational Creativity! Learn more here.