Matthew Aldridge is a lecturer at the University of Leeds in the School of Mathematics, in the research area Statistics, and in the research group Statistical methodology and probability.
I study probability, information theory, combinatorics, statistics and related things. I’m particularly interested in group testing, a problem that models testing a large population for a blood disease that also has applications in communications, computer science, genetics and elsewhere. I’m also interested in ways of coping with interference in large multiuser communications networks.
You might like to look at some of my papers. Good places to find my work include on the arXiv and on Google Scholar. My ORCID is 0000-0002-9347-1586.
At Leeds, In Semester 2 of 2018-2019 I am teaching MATH2750 Introduction to Markov Processes and MATH3015 History of Mathematics (with Dr Philip Walker and Dr Nicola Gambino).
Recent Updates
- December 2019: The survey monograph Group testing: an information theory perspective (written with Oliver Johnson and Jonathan Scarlett) has been published as a paper, as an ebook, and as an actual old-fashioned dead-tree book.
- July 2019: My paper Rates of adaptive group testing in the linear regime was presented at the 2019 IEEE International Symposium on Information Theory in Paris.
- April 2019: My paper Individual testing is optimal for nonadaptive group testing in the linear regime (arXiv preprint) has been published in IEEE Transactions of Information Theory.
- March 2019: I talked at the Probability in the North East Day in Sheffield on 3 March.
- February 2019: I talked at the Workshop on Stochastic Models in Risk Analysis and Queueing in Leeds.
- February 2019: My paper Performance of group testing algorithms with near-constant tests-per-item (with Oliver Johnson and Jonathan Scarlett) has been published in IEEE Transactions on Information Theory (arXiv preprint).