I am an Associate Professor in the Department of Actuarial Mathematics and Statistics at Heriot-Watt University, also affiliated with the Maxwell Institute for Mathematical Sciences. I am a Fellow of the Higher Education Academy.
I currently serve vice chair of the Applied Probability Section of the Royal Statistical Society, and as director of the Scottish Mathematical Sciences Training Centre (SMSTC).
Postal address: School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UK.
Telephone: +44 (0) 131 451 3212
In August 2022 I will give a mini-course on "Probability approximations using Stein's method: Random graphs, Markov chains and beyond" at the LMS Undergraduate Summer School 2022. Materials for this mini-course can be found here.
In October 2021 I gave a probability seminar at Durham University, on "Approximations for random sums with equally correlated summands."
In August 2020 I gave a talk on "Some approximation results for subcritical Erdős-Rényi random graphs via Stein's method" at the Applied Probability Workshop organized by Novosibirsk State University. See the slides and video of my talk available here.
In April and May 2020 I gave four two-hour lectures introducing Stein's method for graduate students. Lecture notes are available here. Recordings of these lectures are available by clicking on the following links:
A special issue of QUESTA for Stochastic Networks 2018 of which I was a guest editor was published in December 2019.
I co-organised the LMS Invited Lectures 2019, given by Prof Søren Asmussen on 20-24 May. Click here for further details. This included a half-day workshop on 'Stochastic processes in finance and beyond'. See further information here.
I was an invited speaker at Stochastic Models VI, held 3-8 June 2018.
I was an invited speaker at the LMS-EPSRC Durham Symposium on 'Markov Processes, Mixing Times and Cutoff', held in July 2017. Further details, including slides and a recording of my talk, are available here.
My research is in applied probability. In many real-life situations probability distributions of interest are tricky to handle, but can be well approximated by distributions which are much easier to work with (such as a Gaussian or Poisson distribution). Much of my work has been in the theory and application of Stein's method, which allows the quality of such probability approximations to be explicitly evaluated in a wide variety of settings without relying on assumptions of independence. Some of my recent work has applied these techniques to various Markovian and random graph models.
A poster I produced (in January 2014 as part of the Heriot-Watt Crucible VI) introducing me and my research can be found here.
A list of my publications and preprints can be found here.
PhD studentships in mathematical modelling and analysis (which includes probability) are available through MAC-MIGS. Details of other PhD opportunities are available here. If you are interested in PhD opportunities, please get in touch with me.
This year I am teaching courses in statistics and probability for undergraduate and Masters students. All course materials are available on Canvas. I am also teaching on the Probability SMSTC modules.
Notes from a one-off lecture I gave in December 2013 (on "The central limit theorem and Poisson approximation: An introduction to Stein's method") as part of the SMSTC Probability stream can be found here (now with some minor typos corrected).
A copy of my CV can be found here (last updated October 2019).
I have previously worked in Bristol, Zürich and Nottingham.
The School of Mathematical and Computer Sciences at Heriot-Watt University.
More probability and statistics links.