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
  • Thesis: “Quantum Chaos in Many-Body Systems Without a Classical Analogue”
• 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”