I’m a principal scientist at NVIDIA, where I work on Nemotron large language models and previously on Cosmos world foundation models. I’m excited about advancing large language models, multimodal understanding, and world modeling, and their convergence as a path to superintelligence that can reason, create, and learn from experience.

From 2020 to 2022, I was a research scientist at Google Research, where I co-created FILM frame generation, used in Google Photos and Pixel and featured at Google I/O, and TryOnDiffusion, launched on Google Shopping and named among Google’s biggest moments of 2023.

Previously, I was a research scientist at NVIDIA Applied Deep Learning Research, led by Bryan Catanzaro. I co-founded and led the real-time frame generation research behind DLSS 3.0, which boosts gaming frame rates on GeForce RTX GPUs.

I earned a PhD in electrical engineering from Vanderbilt University and an MS in computer vision and robotics from Heriot-Watt University.