01 — About
I’m an ML engineer working on vision-language-action models and learned world models — systems that build an internal picture of a scene and use it to decide what to do next. Most of my day is spent on reinforcement learning in simulation, and the long argument about whether any of it survives contact with a real robot.
Before this I trained as an engineer with no intention of touching robots. A single semester of policy learning changed that. I’ve been chasing the gap between prediction and action ever since.
The rest of the time I’m outside. I photograph landscapes and the slow things in them — weather, light, ice, moss. It’s the same interest, really: watching a system change state and trying to be there at the right moment.
02 — Selected papers
03 — Recent frames