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:
- 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. 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.