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.
DPhil Statistics (StatML programme), 2020-2024
Univeristy of Oxford
Master of Mathematics, Operational Research, Statistics and Economics (MMORSE), 2011-2016
University of Warwick
Mathematics (Erasmus programme), 2014-2015