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.

September 2022
Kenny Jones' paper on learning to decompose 3D shapes into regions of varying granularities was accepted to SIGGRAPH Asia!
August 2022
If you work on 3D generative models or their application to downstream vision tasks, submit to our ECCV '22 workshop "Learning to Generate 3D Shapes & Scenes!" The submission deadline is September 19.
August 2022
Check out The SIGGRAPH Logo Gallery, an interactive website I made to showcase creative figures from graphics research papers!
August 2022
The recording of my SGP '22 Summer School course, Learning to Represent Shapes with Programs, is now available.
July 2022
Kai Wang's paper (with Adobe Research) on generating 3D shapes by retrieving and assembling parts was accepted to ECCV 2022!