I am a second-year PhD student in machine learning advised by Prof. Carl Rasmussen at the University of Cambridge. My research interests are in uncertainty-aware Bayesian machine learning algorithms. More concretely, I focus on time-series models for reinforcement learning, mostly based on Gaussian processes. I’m also interested in Bayesian neural networks: better approximate inference schemes, and what they can tell us about why neural networks work.
I am a co-organiser of the ICLR 2019 workshop “Safe Machine Learning: Specification, Robustness and Assurance”.
I run the Engineering Safe AI reading group about technical approaches to ensuring AI has a positive impact in society, as part of Effective Altruism Cambridge.