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Personal profile

Research interests

My research is in methods for data with spatial and temporal structure. In particular, I am interested in applications in public health and medicine and in computation for latent Gaussian models.

Education/Academic qualification

Statistics, Doctor of Philosophy, University of Washington

External positions

Senior Research Associate, Lancaster University

Jun 2014Jun 2016


  • Statistics
  • Biostatistics
  • Spatial Epidemiology
  • Bayesian Inference

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KTP with Mayden House Ltd

Smith, T. & Faraway, J.

Innovate UK


Project: Central government, health and local authorities

KTP with Mayden House Ltd

Smith, T. & Faraway, J.



Project: UK industry

Research Output

Predicting patient engagement in IAPT services: a statistical analysis of electronic health records

Davis, A., Smith, T., Talbot, J., Eldridge, C. & Betts, D., 11 Feb 2020, In : Evidence Based Mental Health. 23, 1, p. 8-14 7 p.

Research output: Contribution to journalArticle

Open Access

Areal models for spatially coherent trend detection: the case of British peak river flows

Prosdocimi, I., Dupont, E., Augustin, N., Kjeldsen, T., Simpson, D. & Smith, T., 9 Nov 2019, In : Geophysical Research Letters.

Research output: Contribution to journalArticle

Open Access
14 Downloads (Pure)
Open Access
  • 3 Citations (Scopus)
    18 Downloads (Pure)

    Factors influencing Raynaud condition score diary outcomes in systemic sclerosis

    Pauling, J. D., Reilly, E., Smith, T. & Frech, T. M., 1 Oct 2019, In : The Journal of Rheumatology. 46, 10, p. 1326-1334 10 p.

    Research output: Contribution to journalArticle

    7 Citations (Scopus)


    Generalized Additive Models for Large datasets: spatial-temporal modelling of the UK's Daily Black Smoke (1961 - 2005)

    Author: Li, Z., 13 Feb 2019

    Supervisor: Shaddick, G. (Supervisor), Smith, T. (Supervisor) & Wood, S. (Supervisor)

    Student thesis: Doctoral ThesisPhD