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.
- 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).