Projects per year
Personal profile
Research interests
My research is in methods for data with spatial or longitudinal dependence. I am interested in applications in the health and social sciences, particularly the development of clinical decision support tools.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Statistics, Doctor of Philosophy, University of Washington
Award Date: 30 Jun 2014
External positions
Senior Research Associate, Lancaster University
Jun 2014 → Jun 2016
Keywords
- Statistics
- Biostatistics
- Spatial Epidemiology
- Bayesian Inference
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Collaborations and top research areas from the last five years
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Total Burden of Long Term Psoriasis - TULiPS
McHugh, N. (PI), Smith, T. (CoI), Tillett, W. (CoI) & Ehrhardt, B. (Researcher)
National Institute for Health Research
1/05/24 → 31/07/25
Project: Central government, health and local authorities
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AI for Collective Intelligence (AI4CI) – A UKRI AI Research Hub for Real Data
Smith, L. G. E. (PI), Pryer, T. (CoI), Smith, T. (CoI) & Chen, C. (Researcher CoI)
Engineering and Physical Sciences Research Council
1/02/24 → 31/01/29
Project: Research council
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“Super Rehab”: Can we achieve coronary artery disease regression in metabolic patients? (a feasibility study)
Smith, T. (PI)
National Institute for Health Research
1/01/22 → 31/12/23
Project: Central government, health and local authorities
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Royal Society Short Industry Fellowship with Mayden- DYNAMIC PREDICTION OF COMPETING RISKS IN ELECTRONIC PATIENT RECORDS SYSTEMS
Smith, T. (PI)
1/10/21 → 31/07/22
Project: Research council
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(GCRF) Bringing statistical and data science capacity building to Mongolia
Faraway, J. (PI), Kyprianou, A. (CoI) & Smith, T. (CoI)
Engineering and Physical Sciences Research Council
12/07/21 → 31/03/22
Project: Research council
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An interpretable machine learning approach for detecting psoriatic arthritis in a UK primary care psoriasis cohort using electronic health records from the Clinical Practice Research Datalink
Rudge, A., McHugh, N., Tillett, W. & Smith, T., 1 Mar 2025, (E-pub ahead of print) In: Annals of the Rheumatic Diseases.Research output: Contribution to journal › Article › peer-review
Open Access -
Estimating subnational under-five mortality rates using a spatio-temporal Age-Period-Cohort model
Gascoigne, C., Smith, T., Wakefield, J. & Paige, J., 1 Feb 2025, In: Spatial and Spatio-temporal Epidemiology. 52, 100708.Research output: Contribution to journal › Article › peer-review
Open Access -
The potential and challenges of AI for collective intelligence
Riedl, C., Cremer, D. D., Lucarelli, G., Antoine-Souklaye, E., Bullock, S., Ajmeri, N., Batty, M., Black, M., Cartlidge, J., Challen, R., Chen, C., Chen, J., Condell, J., Danon, L., Dennett, A., Heppenstall, A., Marshall, P., Morgan, P., O’Kane, A. & Smith, L. G. & 4 others, , 17 Feb 2025, In: Collective Intelligence. 4, 1Research output: Contribution to journal › Article › peer-review
Open Access -
Artificial intelligence for collective intelligence: a national-scale research strategy
Bullock, S., Ajmeri, N., Batty, M., Black, M., Cartlidge, J., Challen, R., Chen, C., Chen, J., Condell, J., Danon, L., Dennet, A., Heppenstal, A., Marshall, P., Morgan, P., O'Kane, A., Smith, L. G. E., Smith, T. & Williams, H., 2 Dec 2024, In: The Knowledge Engineering Review. 39, p. 1-19 19 p., e10.Research output: Contribution to journal › Article › peer-review
Open Access -
Forecasting and Mapping the Environmental and Health Impacts of Sustainable Regional Transport Policies
Prior Filipe, R., Heath, A., Mccullen, N. & Smith, T., 1 Jun 2024, In: Sustainability. 16, 11, 4728.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (SciVal)
Datasets
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Code and Dataset for Thesis "Bayesian Analysis of Spatial Log-Gaussian Cox Processes"
Khaleel, N. (Creator) & Smith, T. (Supervisor), University of Bath, 26 Sept 2022
DOI: 10.15125/BATH-01133
Dataset