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:
- Exploring a manifold of good designs
- Suggesting new (or unexpected) design possibilities
- Synthesizing new designs from examples or large datasets
- Inferring structure from unstructured designs to facilitate editing
- Directing the output of stochastic generative processes
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.