| I am an MSCA Doctoral Candidate in the Parallel CFD & Optimization Unit at the National Technical University of Athens. Within the FairCFD Doctoral Network, I develop shadowing-based sensitivity and adjoint methods for chaotic flows, with applications to automotive aerodynamic optimization in collaboration with Toyota Gazoo Racing. | ![]() |
After completing my MSc at Imperial College London, I spent three years at SAIC Volkswagen working on automotive CFD and scientific machine learning. I then joined Vanderbilt University to study fluid–structure interaction in biomedical applications. I now work with the team behind OpenFOAM’s adjointShapeOptimizationFoam, extending my focus to sensitivity analysis and optimization for complex engineering flows.
Alongside this work, I explore how Scientific Machine Learning and AI-assisted workflows can improve our understanding of nonlinear flow dynamics and support efficient, physically consistent simulations.
Education & Experience Timeline
| MSCA PhD Researcher | National Technical University of Athens 🇬🇷 | 09/2026 - present |
| Graduate Research Assistant | Vanderbilt University 🇺🇸 | 08/2024 - 01/2026 |
| CFD Methodology Engineer | SAIC Volkswagen 🇨🇳 | 05/2021 - 06/2024 |
| Assistant Data Scientist | SAIC Volkswagen 🇨🇳 | 06/2023 - 01/2024 |
| M.Sc.: Advanced Computational Methods | Imperial College London 🇬🇧 | 09/2019 - 11/2020 |
| B.Eng: Erasmus+ mobility / Flight Vehicle Propulsion Engineering | Universidad Politécnica de Madrid 🇪🇸 | 01/2019 - 07/2019 |
Download my CV for experience, education, and publications.
