About

PhD researcher at the UCD Decarb-AI Centre and Innovate for Ireland iScholar, applying machine learning to weather and climate prediction.

Background

I am a PhD student at the University College Dublin Decarb-AI Centre ("Decarbonising Ireland: AI-Powered Pathways to Climate Resilience") and an Innovate for Ireland iScholar. Previously, I worked as an Aeronautical Meteorological Officer at Met Éireann and hold an MSc in Atmosphere, Ocean and Climate from the University of Reading and a BSc in Physics from UCD.

Research

My research focuses on the subseasonal-to-seasonal predictability of multi-hazard weather and climate events using machine learning. I develop data-driven methods that complement traditional numerical weather prediction, with applications in extreme weather risk and compound event analysis.

Experience

PhD Student — University College Dublin, School of Civil Engineering
Tutor & Demonstrator — University College Dublin
Aeronautical Meteorological Officer — Met Éireann

Education

PhD
University College Dublin, School of Civil Engineering
MSc
University of Reading, Department of Meteorology Distinction
BSc
University College Dublin, School of Physics 2:1

Skills

Languages & Tools

Python MATLAB R PyTorch Git HPC LaTeX Web Development Meteorological Data APIs

Environment

VS Code Conda GitHub Copilot Claude Code ChatGPT

Domains

  • Machine learning for atmospheric and climate prediction
  • Analysis of large meteorological and climate datasets, including reanalysis and forecast products
  • Operational weather forecasting and interpretation of observational products
  • Scientific communication through presentations, reports, and teaching

Development

ECMWF Anemoi Training — AI weather forecasting with AIFS
ICHEC HPC Training — High-performance computing and scalable AI
Dragon's Den Competition — Innovate for Ireland
UK Met Office Forecasting — Operational forecasting · Distinction
ARK Presentation Training — Professional speaking skills
NextGenEC 2024 — Dissertation poster presentation