David Ellis

Welcome! I am a mathematician working mainly in combinatorics and related areas. I am particularly interested in exploring links between extremal combinatorics and other areas of pure and applied mathematics (principally algebra, analysis, probability theory, geometry, and of course theoretical computer science). I am a Reader (a.k.a. Associate Professor) in Pure Mathematics at the University of Bristol (in the School of Mathematics).

Previously, I have been a Lecturer in Pure Mathematics at Queen Mary, University of London, and before that, I was a Junior Research Fellow at St John's College, Cambridge. My Ph.D was supervised by Imre Leader at the Department of Pure Mathematics and Mathematical Statistics at the University of Cambridge; I received my Ph.D in 2010. During the academic year 2013-14, I was a Feinberg Visiting Fellow at the Weizmann Institute of Science, hosted by Ehud Friedgut, and also working with Itai Benjamini.

Here are most of my publications and preprints.

Here is a survey paper I wrote in June 2021, on intersection problems in extremal combinatorics. It's an expanded version of a paper that appeared in the Proceedings of the 29th British Combinatorial Conference (University of Lancaster, 11th-15th July 2022). It's a personal perspective on the area, and is not intended to be exhaustive; it is, however, intended to be useful to graduate students, as well as to more established researchers.

Here are some lecture notes for some courses I have taught in the past, in case they are useful.

Here is a link to the Bristol Combinatorics Seminar webpage. (I am one of the organisers.) 

Here is a collection of open problems that Robert Johnson and I collated and edited to celebrate the occasion of Imre Leader's 60th birthday, in October 2023. It is intended to be useful for graduate students, as well as to more established researchers.

From May 2020 (until its activities ceased), I was a member of the Action Team of DELVE (Data Evaluation & Learning for Viral Epidemics); this was a multidisciplinary group convened by the Royal Society in April 2020, to support a data-driven approach to learning from the different approaches countries are taking to managing the coronavirus pandemic. DELVE's remit subsequently broadened and its members worked on a variety of projects to inform the policy response to COVID-19. I contributed substantially to the statistical/mathematical research underpinning the following DELVE reports.  The second report was cited by the UK's Chief Medical Officers explaining their decision to recommend to the UK government that schools be reopened in September 2020.

I was Principal Investigator of the EPSRC-funded project EP/W000032/1. As part of this project, I have written (jointly with Matthew Aldridge) an introduction to the basics of pooled testing algorithms, with particular emphasis on applications in testing for Covid-19 infection. It is aimed at people who are not specialists in mathematics or statistics. It is available here

Here is a briefing note with estimates of how the vaccine rollout (and vaccine uptake among young people) may affect the basic reproduction number of the coronavirus among UK university students during the Autumn Term of the Academic Year 2021/2022. The estimates are tailored to the situation for the University of Bristol, but with minor alterations they are transferrable to other UK universities.