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.

News
August 2020
Attending SIGGRAPH next week? Drop by our BoF (Birds of a Feather) session Monday 8/17 at 11am Pacific Time to discuss the future of synthetic 3D indoor scene datasets.
July 2020
New paper accepted to SIGGRAPH Asia 2020! "ShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis." Stay tuned for details...
July 2020
Wallace Lira's work on image-to-image translation via multiple small "hops" has been accepted to ECCV 2020.
June 2020
Our CVPR 2020 workshop on Learning 3D Generative Models is coming up soon (6/14)! Submit questions for the panel discussion in advance using this Google form.
April 2020
The new Brown Visual Computing website is live! There are a couple of 'graphics-y' easter eggs on the page--see if you can find them 😉
Archive
Publications