Aleksander Holynski is a research scientist at Google DeepMind and a professor at Columbia University. Previously, he was a postdoctoral scholar at Berkeley AI Research, working with Alyosha Efros and Angjoo Kanazawa. He received a PhD in Computer Science from the University of Washington, where he was advised by Steve Seitz, Brian Curless, and Rick Szeliski, and a B.S. with High Honors from the University of Illinois at Urbana-Champaign. His research focuses on computer vision, computer graphics, machine learning, and generative models, including work on the state-of-the-art video generation models Veo 2 and Veo 3. His work has been recognized with best paper awards at ICCV 2023, CVPR 2024, and CVPR 2025.