I do normal science.
I am pursuing a PhD, advised by Andrew Gordon Wilson, interested in scaling up probabilistic inference and advancing reinforcement learning. I'd love to collaborate on some of these idea fragments. Even if you have ideas of your own, please don't hesitate to reach out!
Before this, I was at Uber AI Labs, mostly working on approximate inference with Thang Bui and Theofanis Karaletsos. I completed my Masters thesis on how to leverage communication for efficient Monte Carlo sampling, advised by Joan Bruna in the CILVR lab.
For a formal background, see my CV.