Research Fellow · BCG X AI Science Institute

Research in deep learning theory, AI for science, and quantum computing.

I completed my DPhil in Computer Science at the University of Oxford in 2025 where I was fortunate to be supervised by Prof. Bernardo Cuenca Grau and Prof. Ian Horrocks. The main areas of my DPhil studies were deep learning theory, theoretical computer science, and mathematical logic. My thesis is titled Explainability and generalisation properties of artificial deep neural networks. Since joining BCG X and the BCG X AI Science Institute in 2025, I have started to focus on quantum computing research and AI for science, while continuing independent research on deep learning theory.

Bio

Prior to my DPhil, I earned a MSc in Mathematics from University of Oxford and a Diplôme d'Ingénieur from Ecole des Mines de Paris, a French Grande École, after attending Classe Préparatoire in Mathematics and Physics. I wrote my Oxford MSc dissertation, supervised by Prof. George Deligiannidis, on random matrix theory. During my studies at Mines Paris, I specialized in geostatistics and applied probabilities under the supervision of Prof. Hans Wackernagel, as well as in astrophysics, including one year at Observatoire de Paris. I also conducted graduate-level research in observational astrophysics and computer vision at Caltech under the supervision of Prof. Simona Mei and Prof. Sunil Golwala.