PhD Student Bio

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 can reason in the presence of uncertainty, as this strikes me as the most crippling flaw of current automated learning systems.

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 I worked with scalable Bayesian machine learning models for various use cases in 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.