
I'm a PhD student working on climate models at the University of Cambridge.
In my free time time, I enjoy reading about fiscal policy.

I studied physics and applied mathematics, then started dabbling in climate science. I'm now a PhD student at the University of Cambridge, working on the representation of convective clouds in climate models.
I work part-time as a trainer at Cambridge Spark, teaching data science, and as an independent contractor for Google DeepMind, helping real researchers evaluate conversational AI models for safety and performance.
In my spare time, I enjoy exploring the intricacies of fiscal policy. On less exciting days, you can find me outdoors, preferably surrounded by trees.
Joint degree. Thesis on the percolation characteristics of systems with a barrier.
MPhil by research. Thesis on the impact of convection schemes in climate models.
I use high-resolution simulations, data analysis, and large-scale computing to understand how the physics of clouds and the climate system behave and change over time.
Teaching and tutoring Excel, Python, data science, and, on occasion, machine learning, to company clients- catering to a spectrum of learner expertise, ranging from complete beginners to advanced learners.
Part-time role in collaboration with researchers to test and evaluate conversational AI models for safety and performance.

Some of the things I've enjoyed reading recently.
Get in touch if you’d like to chat about clouds, share some feedback, or discuss a convincing tax proposal. Other topics are welcome too.