Dr Rowland Seymour

Dr Rowland Seymour

School of Mathematics
Assistant Professor in Mathematics

Contact details

Telephone
+44 (0) 1214146200
Email
r.g.seymour@bham.ac.uk
Address
School of Mathematics
Watson Building
ºÚÁϳԹÏÍø
Edgbaston
Birmingham
B15 2TT
UK
How can mathematical models help tackle modern slavery? | Rowland Seymour, UKRI FLF

Dr Seymour is a statistician developing Bayesian methods for applications in social and health sciences. Dr Seymour's current interests include developing statistical prevalence estimation methods for different crime types and applications of Bayesian nonparametric methods.

Dr Seymour is a UKRI Future Leaders Fellow, developing computational statistical methods to tackle modern slavery. He has received funding for his research from the EPSRC, the Home Office, the Nuffield Foundation and the International Justice Mission.

Qualifications

  • PhD in Mathematics, University of Nottingham, 2020
  • MSc in Applied Mathematics, Heriot Watt, 2016
  • BSc (Hons) in Mathematics with German, University of Southampton, 2015

Biography

Rowland's PhD was in Bayesian nonparametric methods for stochastic epidemic models. Following the completion of his PhD, Rowland was awarded an EPSRC Doctoral Prize which he used to set up the prevalence and computation group at the University of Nottingham's Rights Lab. He joined the ºÚÁϳԹÏÍø's School of Mathematics as an Assistant Professor in 2022 and became a UKRI Future Leaders Fellow in 2023.

Postgraduate supervision

Rowland is happy to take enquiries from motivated students interested in a PhD in computational statistics.

Research

Research themes

  • Bayesian computation
  • Inference for comparative judgement data
  • Modelling human rights abuses
  • Inference for epidemic models

Publications

Recent publications

Article

Nyarko-Agyei, A, Moser, S, Seymour, R, Brewster, B, Li, S, Weir, E, Landman, T, Wyman, E, Torres, CB, Fell, I & Boyd, D 2025, '', Journal of the Royal Statistical Society Series C (Applied Statistics).

Seymour, R, Nyarko-Agyei, A, McCabe, H, Severn, K, Sirl, D, Kypraios, T & Taylor, A 2025, '', Annals of Applied Statistics, vol. 19, no. 1, pp. 419-439.

Abubakar, A, Seymour, R, Gardner, A, Lambert, I, Fyson, R & Wright, N 2024, '', Journal of Public Health.

Seymour, R & Hernandez, F 2024, '', Journal of Applied Statistics.

Seymour, R, Kypraios, T & O'Neill, P 2022, '', Proceedings of the National Academy of Sciences of the United States of America, vol. 119, no. 10, e2118425119.

Seymour, RG, Sirl, D, Preston, SP, Dryden, IL, Ellis, MJA, Perrat, B & Goulding, J 2022, '', Journal of the Royal Statistical Society Series C (Applied Statistics), vol. 71, no. 2, pp. 288-308.

Seymour, RG, Kypraios, T, O’Neill, PD & Hagenaars, TJ 2021, '', Journal of the Royal Statistical Society Series C (Applied Statistics), vol. 70, no. 5, pp. 1323-1343.

Commissioned report

Seymour, R, Bradbury-Jones, C, Waigwa, S, Walker, S, McCabe, H & Severn, K 2023, . ºÚÁϳԹÏÍø.

Seymour, R, Boyd, D, Nyarko-Agyei, A, Weir, E, Brewster, B, Landman, T, Goulding, J, li, S, Moser, S, Fell, I, Tanagho, J, Garcia, L, Camagay, P & Jadloc-Carredo, J 2023, . International Justice Mission. <>

Conference contribution

Seymour, R, Sirl, D, Preston, S & Goulding, J 2023, . in Proceedings of the Joint Statistical Meetings 2023. Zenodo, Joint Statistical Meetings 2023, Toronto, Ontario, Canada, 5/08/23.

Other contribution

Ghumra, A (ed.), Acil, N, Barker, J, Baziotis, C, Beltran Hernandez, A, Dai, D, Deakin, J, Dettmer, S, Fentham, D, Fontrodona-Bach, A, Hart-Villamil, R, Jenkins, B, Jia, X, Jones, AM, Morris, A, Murakami, A, Seymour, R, Da Silva Xavier, G, Smith, C, Tashev, S, Turner, J, Uche, EO, Xia, X & Zhong, J 2023, . ºÚÁϳԹÏÍø.

Review article

Seymour, R & Silverman, B 2023, '', Chance, vol. 36, no. 4, pp. 22-29.

Software

Seymour, R, Smith, C, Hernandez, F & Perrat, B, , 2024, Software. <>

Seymour, R, , 2024, Software, CRAN.

Working paper

Breward, C, Champneys, A, Davis, T, Nguyen, N & Seymour, R 2025 '' Mathematics in Industry Reports.

Expertise

Statistics, Maths, Violence against women and girls, honour based abuse, forced marriage, female genital mutilation, domestic abuse, domestic violence