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. In particular, I apply AI and ML techniques to creating visual content for computer graphics and design. This entails building technologies that do things such as:

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.

August 2018
Aaron Gokaslan and Vivek Ramanujan's work on unsupervised image translation with large shape deformation to be presented at ECCV 2018.
March 2018
New paper on deep convolutional scene synthesis models accepted to SIGGRAPH 2018.
February 2018
Angela Dai's work on large-scale 3D scan completion accepted to CVPR 2018.
December 2017
New paper on learning procedural models from examples accepted to Eurographics 2018.
November 2017
Maxime Voisin's work on improved training for neural autoregressive data completion models accepted to the NIPS 2017 Bayesian Deep Learning Workshop.