I'm a PhD student at Clare College, Cambridge University, co-supervised by Rich Turner at the Machine Learning Group and John Aston at Statslab. My research is broadly into machine learning and computational statistics. Before starting my PhD, I studied for a BA and MMath at Cambridge. I focused mainly on Probability and Algebra courses in the final year, and wrote my Part III essay "Mixing Times of Random Transpositions" under the supervision of Nathanaël Berestycki. I worked as an actuarial consultant before starting my PhD, and recently interned as a Quantitative Researcher at G-Research, and as a Research Scientist at DeepMind.
I'm broadly interested in machine learning, probability and statistics, and interactions with areas of pure maths such as group theory and optimal transport theory. My particular research focuses at the moment are in optimisation problems for discrete graphical models, and Monte Carlo methods on structured spaces such as transformation groups.Tightness of LP Relaxations for Almost Balanced Models
I've given supervisions in Part IA Groups, Part IA Probability, Part IB Linear Algebra, and Part IB Statistics in previous years. I gave examples classes for Part III Bayesian Modelling and Computation in Lent 2017, and run MATLAB introduction sessions for Maths Tripos students.
MAP Inference in Undirected Graphical Models - MLG Research Talk, November 2016
Tightness of LP Relaxations for Almost Balanced Models - International Conference on Principles and Practice of Constraint Programming (CP), Toulouse, September 2016
Coupling from the Past - Machine Learning Group Tea Talk, March 2016
Stochastic Approximation Theory (with Yingzhen Li) - Machine Learning Reading Group, November 2015
Feel free to get in touch via mr504 [ at ] cam [ dot ] ac [ dot ] uk.My LinkedIn profile