I’ve just joined Moody’s RMS as a Climate Hazard Modeller on the Tropical Cyclone team.
Previously, I worked as a Quantitative Researcher at Bayforest Technologies.
Before that I completed my PhD in Mathematics at Imperial College London under the joint supervision of Dr Andrew Duncan and Dr Jon Cockayne. My PhD research was focused on the Bayesian formulation of PDE-based models with an aim towards physics-informed machine learning. I have also worked on kernel-based methods for inference of complex models.
💻 Climate Hazard Modeller | Moody’s RMS | November 2024 - Present
🏠 Based in London
💻 Quantitative Researcher | Bayforest Technologies | September 2023 - November 2024
💻 AI Research Intern | Arabesque AI | August 2021 - November 2021
📖 Mathematics Tutor | Keystone Tutors | December 2019 - September 2023
📖 Graduate Teaching Assistant (GTA) | Imperial College London | October 2019 - September 2023
🎓 PhD in Mathematics | Imperial College London | October 2019 - September 2023
🎓 MSc in Statistics | Imperial College London | September 2018 - September 2019
🎓 BA in Mathematics | University of Cambridge | October 2015 - June 2018
💻 Programming | Nix | Python | Julia | R
📚 Mathematics | Bayesian Statistics | Physics-informed ML | Kernel-based methods
💬 English (native) | Greek (conversational)
🌐 UK (Current; ≈9 years) | Cyprus (≈11 years) | USA (≈10 years)