Rohan is a machine learning engineer who grew up in the Bay Area (he is also an avid Warriors fan!). He is currently pursuing his Ph.D. at Stanford University, where he has trained AI models with synthetic data, tuned them to follow user instructions, and increased their reliability. Previously, he studied and taught computer science at the University of California, Berkeley.

Rohan is using his $100,000 fellowship grant to create flexible, accessible, and interactive AI models that can handle complex and diverse data. These models will be trained on large amounts of video data, empowering users to easily edit, generate, and reason about video content.