I am an Assistant Professor at MIT EECS, where I am leading the Scene Representation Group. Previously, I did my Ph.D. at Stanford University as well as a Postdoc at MIT CSAIL. My research interest lies in neural scene representations - the way neural networks learn to represent information on our world. My goal is to allow independent agents to reason about our world given visual observations, such as inferring a complete model of a scene with information on geometry, material, lighting etc. from only few observations, a task that is simple for humans, but currently impossible for AI.
I am looking for graduate students to join my lab at MIT in July 2023. If you want to push what's possible with neural scene representations, inverse graphics and neural rendering and apply them to problems across computer vision, graphics, and robotics, please apply here - deadline is December 15th 2022!