Make It Work, Then Prove It Works: A Framework for Research
There are two disparate skillsets required for good research: moving fast to find what works, then slowing down to prove it. Knowing when to switch between them is crucial.
Vincent Sitzmann
Vincent Sitzmann is an Assistant Professor at MIT where he leads the Scene Representation Group. He received his PhD at Stanford University with Gordon Wetzstein and his Bachelor’s degree from the Technical University of Munich. Vincent’s research goal is to build machines that learn to understand and interact with the world autonomously by building “world models” - mental simulators that enable an agent to simulate what will happen next in their environment and as a consequence of their actions, a critical piece of AI and key in downstream applications in graphics, vision, and robotics.