About

I am a PhD student at the University of Oxford in the Department of Statistics. My project is supervised by François Caron and Benjamin Guedj, and my research is supported by the Clarendon Scholarship. I organise the Oxford Young Statisticians Seminar.

My research interests lie in :

• Anytime-valid Inference: Developing sequential statistical methods that remain valid under continuous monitoring and optional stopping using e-values.

• Trustworthy Machine Learning: Improving the power and efficiency of uncertainty quantification through Bayes-assistance and Prediction-Powered Inference (PPI).

• BNP for Network Modelling: Bayesian nonparametric statistical modeling of real-world networks.

I’m a Lecturer in Mathematics and Statistics at Balliol College

I regularly serve as a reviewer for conferences and journals including NeurIPS, ICML, ICLR, AISTATS, and TMLR.

I was a Normalien (trainee civil servant) at the École Normale Supérieure de Rennes (ENS Rennes) in the Mathematics Department. In 2023, I studied in the M2 Mathematics of Randomness at Paris-Saclay University. In 2022, I ranked 39th in the agrégation of Mathematics.