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.
- 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.