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.

June 2021
One new paper conditionally accepted to SGP 2021!
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.