I am an Assistant Professor of Computer Science at Brown University. 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.

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.

May 2019
Paper on graph-based generative models for indoor scenes accepted to SIGGRAPH 2019.
March 2019
February 2019
I'll be presenting a tutorial on Learning Generative Models of 3D Structures at Eurographics 2019.
January 2019
I'm co-organizing a workshop on 3D Scene Generation at CVPR 2019.
December 2018
Yunchao Liu's work on inferring scene-generating programs from images accepted to ICLR 2019.