Cristopher Salvi

Cristopher Salvi is a Chapman Fellow in Mathematics at Imperial College London and a visiting researcher at The Alan Turing Institute. His research focuses on deep learning and kernel-based models using rough path theory, stochastic analysis, and PDEs. He specializes in analyzing complex signals from various systems affected by randomness like data from finance, meteorology, or healthcare. Salvi obtained his PhD from the University of Oxford under the supervision of Prof. Terry Lyons.

Salvi's educational background includes a Doctor of Philosophy (PhD) in Mathematics and Machine Learning from the University of Oxford, an MSci (BSc + MSc) in Mathematics with a 1st Class distinction from Imperial College London, and a foundation in Mathematics and Physics from Lycée Louis-le-Grand through Classes Preparatoires aux Grandes Ecoles.

Having worked at prestigious organizations such as The Alan Turing Institute, Entrepreneur First, Citi, BlackRock, and Schroders, Salvi brings a wealth of experience in data science, quantitative research, and analytics to his current roles in academia.