I spent hours analyzing a single three-minute scene from Pulp Fiction for a film-analysis class in college. Wondering if machines could help with that kind of analysis is what pulled me into programming and ML in 2019.

Six years later, my work still circles the same question: how do you teach ML systems to capture what experts rarely articulate -- how a cinematographer knows a shot "works," how an editor feels when a cut lands, how a great piece of cinema moves you in ways you can't quite explain?

In a past life, I was competing in the juniors tennis circuit, ranked in the world's top 2000. I've also acted in a couple of short films (Crumpled, Normal) and composed the soundtrack for the former.