About Me

I am a doctoral researcher at Helmholtz AI and the Technical University of Munich as a member of the Elpis lab, supervised by Dr. Vincent Fortuin. I am mentored by Mark van der Wilk. I am broadly motivated by the need to develop machine intelligence systems that operate with an accurate sense of uncertainty over their predictions.

Prior to my PhD, I took a year out of education to focus on expanding my knowledge of probabilistic machine learning. In addition to this, I wrote a single-author research paper that was accepted at AABI 2024, and spent five months as a Machine Learning Researcher at Motorway in London where we developed and deployed Bayesian machine learning systems for a variety of use cases within vehicle pricing.

Before my year out, I studied engineering at the University of Cambridge where my specialism was computer and information engineering, though my module choice made the integrated masters year indistinguishable from a typical masters in Machine Learning, albeit with a heavy dose of Bayesianism.

For more information about my background, feel free to look at my CV. To see my publications, you can scroll to the bottom of my CV or find my Google Scholar page here. My CV is accurate as of April 2025.

Interests

• Neural Processes and Probabilistic Meta-Learning
• Gaussian Processes
• Bayesian Deep Learning
• Approximate Inference
• Amortised Inference
• Probabilistic Machine Learning in General