Experience Link to heading

• Data Engineering & Machine Learning Link to heading

SeaQuest Marine Technologies (Sep. 2022 - Present)

As the lead of Data & ML Operations, I supervise a multidisciplinary team of MLOps Developers, Data Scientists, Data and ML Engineers to design, develop, and deploy machine learning models into production. My team is focused on delivering scalable ML solutions to address key challenges in the marine industry, spanning from vessel performance optimization and emissions minimization to data-driven condition monitoring of shipboard machinery.

• Theoretical Physics Post-MSc Research Link to heading

National & Kapodistrian University of Athens (Mar. 2021 - Aug. 2022)

After completing my MSc studies, I continued my research on the topics explored in my thesis, titled “Solution of the tight-binding Bogoliubov-de Gennes equations for topological superconductivity”. This work was supported by the 49th Scholarship Programme for Postgraduate and Doctoral Studies of the Bodossaki Foundation via scholarship with code BDA-2750.

Education Link to heading

• PhD in Physics-Informed Neural Networks Link to heading

National & Kapodistrian University of Athens (Apr. 2024 - Present)

Dissertation Title: Physics-Informed Deep Learning for Scientific Computing

• MSc in Data Science & Machine Learning Link to heading

National Technical University of Athens (Sep. 2021 - Mar. 2023)

Grade: 9.89 (Excellent - Highest Grade)

• MSc in Condensed Matter and Materials Physics Link to heading

National & Kapodistrian University of Athens (Oct. 2019 - Mar. 2021)

Grade: 10 (Excellent - Highest Grade)

• BSc in Physics Link to heading

National & Kapodistrian University of Athens (Oct. 2014 - Jun. 2018)

Grade: 8.98 (Excellent)