Title: MATS Research FellowLocation: London, UK
Research: Optimization, learning theory, LLM inference
Gmail:
lastname dot firstnameEducation:
DPhil in Mathematics, 2021
University of Oxford
MSc in Math. Modelling and Sci. Computing, 2016
University of Oxford
News:- I will present Efficient and Accurate Causal Validation of Training Data Attribution at the NeurIPS 2026 ATTRIB workshop (code).
- Masked Language Flow Models accepted to the COLM NonAR-LM Workshop 2026.
I am a MATS Research Fellow working with Roger Grosse on data attribution methods for large language models. My broader research interests include statistical learning theory, optimization, interpretability, and efficient inference. I also taught a hands-on Introduction to LLMs course at Oxford and Imperial College London.
Previously, I was a postdoctoral researcher in Statistics at the University of Oxford, working with Prof. Patrick Rebeschini on optimization and statistical learning theory. Before that, I was a visiting lecturer and postdoctoral researcher at UCLouvain, hosted by Prof. Pierre-Antoine Absil and Prof. Julien Hendrickx. I completed my DPhil in Mathematics at Oxford under the supervision of Prof. Jared Tanner, where I worked on robust PCA and low-rank plus sparse matrix sensing (thesis).