Marie Curie PhD on Machine Learning for High Energy Physics, with a background in Theoretical Physics from Oxford

Oxford Theoretical Physics graduate, currently Marie Curie PhD Fellow at Sorbonne/CERN, with a strong background in mathematical modeling and machine learning. Expertise in high-frequency data analysis, real-time ML on GPUs and FPGAs, and high-performance computing with C++ and Julia. Experience in time series anomaly detection with ML, deploying and backtesting quantitative trading strategies, and stochastic processes. Interested in applying mathematical modeling and data-driven insights to financial markets.