I’m interested in machine learning and statistics more broadly, particularly Bayesian. Currently, I’m on the StatML programme at the University of Oxford, working with Tom Rainforth and Yee Whye Teh. I spent 2022 on two research internships: first one was at Microsoft Reseach Cambridge, where I focused on causal machine learning; the second one was at Meta AI (FAIR Labs) NYC, where I worked on neural data compression.

Before joining the StatML CDT, I spent four years in quant finance – first in quantitative equity research at UBS and later in cross-asset systematic trading strategies structuring at Goldman Sachs.

For more about my work, see my talks and publications.