Our research is in computational applied mathematics, including numerical analysis, mathematical modelling and software. We are interested in taking challenging science or engineering problems and identifying efficient computational strategies to address them. We work with domain specialists, as well as computer scientists, high performance computing specialists, and with industry. We use methods from analysis (especially numerical analysis), geometry, probability, and statistics in our work. We also incorporate and rely on many concepts from statistical physics and theoretical chemistry. We develop our own industrial-strength software for various applications, an increasingly demanding part of our work.


May 2021

New paper on constraint-based regularization accepted for ICML 2021!

May 2021

Dominic Philips to join the group in Autumn 2021. Dominic will be working on AI driven sampling of the shapes of biomolecules in a project jointly supervised with Antonia Mey (Chemistry) and Flaviu Cipcigan (IBM Research).

May 2021

Several new MAC-MIGS students join the group. Peter Whalley will be working in statistical methods, jointly supervised with Daniel Paulin; Donald Hobson is working on causal graphs and analysis of neural computational models, jointly supervised by Michal Branicki.

June 2021

We organized a special 1-day meeting on June 3 on Mathematical Topics in Machine Learning, with talks by Arnulf Jentzen, Gabriel Stoltz, Amos Storkey, and Eric Vanden-Eijnden. The videos of the talks are available here

September 2021

organising a mini-symposium @ Numdiff-16 on ODE and SDE methods in machine learning.

September 2021

This promises to be an interesting event: Accelerating the Understanding of Rare Events.

March 2021

New group website goes live!

December 2020

Tiffany wins a best student paper prize @Neurips OPT2020 for this work .