About
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.
Contact
You can contact me on LinkedIn or using the contact form.
Education
- PhD in High-Energy Physics
Sorbonne University and CERN, France
Oct 2022 – Sep 2025- Thesis: “Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures”
- MSc in Applied Mechanics
National Technical University of Athens (NTUA), Greece
Oct 2020 - Jul 2022 - MMathPhys in Mathematical and Theoretical Physics
University of Oxford, United Kingdom
Oct 2015 – Jul 2019- First Class and Distinction
- Thesis: “On the Yang–Mills Existence and Mass Gap Problem”