Dr Matthew Thorpe

Lecturer in Applied Mathematics

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I have two main research interests: The first is in the application of methods from the calculus of variations to analyse large data limits of problems that arise from machine learning and statistics. The second is in the application and development of optimal transport distances to signal and image analysis.

Currently I am a co-organiser for the One World Seminar Series on the Mathematics of Machine Learning and an editor for the journal Foundations of Data Science.

I am also a part of the Cambridge led project on AI assisted diagnosis and prognostication in Covid-19, and the European Union's Horizon 2020 program NoMADS (grant agreement number 777826).

Further information

I can be contacted at matthew[dot]thorpe[dash]2@manchester[dot]ac[dot]uk.

External positions

Research Fellow, University of Cambridge

1 Sep 201729 Feb 2020

Postdoctoral Associate, Carnegie Mellon University

1 Sep 201531 Aug 2017


  • Machine Learning, Calculus of Variations, Statistics, Optimal Transport

Related information


Research output: Contribution to journalArticlepeer-review

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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