Matthew Aldridge is a lecturer at the University of Leeds in the School of Mathematics, in the Statistics department, and in the Statistical methodology and probability research group.
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 2018-19 I am teaching MATH2750 Introduction to Markov Processes and MATH3015 History of Mathematics (with Dr Philip Walker and Dr Nicola Gambino).
Recent Updates
- June 2020: I talked at part 2 of the Leeds–Liverpool joint virtual workshop on probability and financial mathematcs. My talk was on the topic Group testing for the coronavirus, based in part on my preprint Conservative two-stage group testing.
- May 2020: My preprint On the all-or-nothing behavior of Bernoulli group testing with Lan V Truong and Jonathan Scarlett is available on the arXiv.
- May 2020: My preprint Conservative two-stage group testing is available on the arXiv.
- December 2019: My survey monograph Group testing: an information theory perspective (arXiv preprint) 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 (arXiv preprint) 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.