About Me

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 machine learning researcher at G-Research. I am currently interning at DeepMind.

Talks and Teaching

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.

Selected recent talks:

Symmetry in Statistical Models (with Maria Lomeli) - MLG Reading Group, December 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