Vincent Sitzmann is an assistant professor at MIT where he leads the Scene Representation Group. His research interest lies in neural scene representations---the way that neural networks learn to represent information about our world. His 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. He completed his Ph.D. at Stanford University.