Mark Rowland

I am a PhD student at Clare College, co-supervised by Rich Turner at the Machine Learning Group and John Aston at Statslab. Before starting my PhD, I studied for a BA and MMath at Cambridge, focusing mainly on Probability and Abstract Algebra courses in the final year. I worked as an actuarial consultant before starting my PhD, and during the PhD have interned as a Quantitative Researcher at G-Research, and as a Research Scientist at DeepMind. I’m interested in many areas across machine learning, statistics, probability, and optimisation, and interactions with areas of pure maths such as group theory and optimal transport theory. To date, I’ve worked on areas including MAP inference for discrete graphical models, Monte Carlo methods (particularly over non-Abelian groups), and reinforcement learning.

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