Alfie McGlennon

Hi, I’m Alfie. I’m finishing an MSc in Climate Change and AI at the University of Reading, after a BSc in Meteorology and Climate in the same department. I love a good problem and trying to understand things through a data lens. My dissertation focuses on compound heat stress across Europe: when heat and humidity combine in ways that neither variable alone would predict.

I’m curious about how things work and why they work the way they do, whether that’s atmospheric systems, energy markets, social structures, or the assumptions buried inside a model. Data is usually how I pull those questions apart. My university and personal work spans machine learning, reinforcement learning, quantum computing, and statistical climatology. Lately I’ve been working with more hands-off workflows: I design the research brief, the data pipeline, and the architecture, and use AI tools to build the code and front-end around it. Projects has the builds. Writing has the full write-ups.

If you work in climate risk, reinsurance, operational meteorology, or anywhere that statistical and ML methods meet real-world data, I’d like to hear from you. Based in the Reading area.