I am a recently graduated PhD student on the OxWaSP programme, supervised by Dr Adam Johansen and Dr Jere Koskela. My research focussed on theoretical aspects of sequential Monte Carlo (SMC) algorithms, particularly on the particle genealogies induced by various resampling schemes.

Tutorial teaching

2018/19 Term 1: ST301 Bayesian Statistics

2018/19 Term 2: ST111 Probability

2019/20 Term 1: ST333 Applied Stochastic Processes

2019/20 Term 2: ST111 Probability

December 2020: APTS Statistical Computing (labs)

April 2021: APTS Statistical Modelling (labs)

July 2021: APTS Computer-Intensive Statistics (labs)

Publications

S. Brown, P. A. Jenkins, A. M. Johansen, J. Koskela (2021). Weak Convergence of Non-neutral Genealogies to Kingman's Coalescent. Pre-print. [arXiv]

S. Brown, P. A. Jenkins, A. M. Johansen, J. Koskela (2021). Simple conditions for convergence of sequential Monte Carlo genealogies with applications. Electronic Journal of Probability, 26(1), 1-22. [arXiv]

S. Brown, O. Johnson, A. Tassi (2018). Reliability of broadcast communications under sparse random linear network coding. IEEE Transactions on Vehicular Technology, 67(5), 4677-4682. [arXiv]

Awards

My submission "Genealogies in Cakeland" (pictured below) won in the bake-off category Best Representation of Research at the 2019 Warwick Research Harambee.

Invited talks

Asymptotic genealogies of sequential Monte Carlo algorithms, Probability & Statistics Seminar, University of Kansas (online), February 2021

Asymptotic genealogies of sequential Monte Carlo algorithms, Algorithms & Computationally Intensive Inference, Warwick (online), December 2020

Asymptotic genealogies of sequential Monte Carlo algorithms, Bayesian Young Statisticians' Meeting: Online, November 2020

Recent progress in genealogies of sequential Monte Carlo algorithms, International Conference on Computational and Methodological Statistics, London, December 2019

Email: S.Brown.18 at warwick.ac.uk

Office: Statistics MSB 4.14