Introduction

I am Reader in Information Theory in the Institute for Probability, Analysis and Dynamics in the School of Mathematics at Bristol University. I help run the Centre for Doctoral Training in Communications (offering 10 fully funded PhD places per year). I was previously Max Newman Research Fellow of the Statistical Laboratory of Cambridge University and Clayton Fellow of Christ's College, and Associate Director of the Heilbronn Institute for Mathematical Research.

Much of my research applies Information Theory to understand limit theorems in probability. Recently this has involved discrete random variables - including transportation of measure, the Shepp-Olkin conjecture, log-Sobolev inequalities, maximum entropy, monotonicity and other problems. I also research group testing, both in terms of practical algorithms and fundamental bounds via converse results. I have also recently published papers concerning problems such as wireless communication schemes, ecological modelling and change-point estimation.

I published a book about my older research, entitled Information Theory and the Central Limit Theorem. Here is a list of known errata. My preprints and academic links are available on this site.

In the academic year 2016-7, I will be lecturing the first year unit Statistics 1 and the third and fourth year unit Financial Maths.