I just finished my Ph.D. in the Stanford Computational Imaging Laboratory, advised by Prof. Gordon Wetzstein, moving on to a Postdoc at MIT's CSAIL with Josh Tenenbaum, Bill Freeman, and Fredo Durand. 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 have previously worked on differentiable camera pipelines, VR and human perception.