Projects per year
Personal profile
Research interests
I work in the Numerical Analysis and Data Science group in the Department of Mathematical Sciences at the University of Bath, and work closely with the Centre for Mathematics and Algorithms for Data. I am interested in computational algorithms and their analysis, especially ones for stochastic differential equations, machine learning, and shape modelling.
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Collaborations and top research areas from the last five years
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Automated Image Recognition in Psoriatic Arthritis: AI-PsA
Royal United Hospitals Bath NHS Foundation Trust
1/06/20 → 1/11/23
Project: Central government, health and local authorities
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Shape modelling for predicting risk of early onset hip osteoarthritis
Shardlow, T., Gill, R., Kyprianou, A. & Rambojun, A.
Engineering and Physical Sciences Research Council
4/07/22 → 1/09/23
Project: Research council
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MAchine Learning And Rheumatic Diseases
Royal United Hospitals Bath NHS Foundation Trust
1/03/22 → 31/03/23
Project: Central government, health and local authorities
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Collaborative Work with Stephen Marsland (Massey University NZ)
21/07/15 → 21/08/15
Project: UK charity
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IAA: Mathematical Investigation into the Methods used in Classical Quantitative Risk Assessment in the Energy and Process Industries
Shardlow, T., Budd, C., Jennison, C., Lindgren, F. & Scheichl, R.
Engineering and Physical Sciences Research Council
1/05/14 → 31/01/15
Project: Research council
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Deep surrogate accelerated delayed-acceptance HMC for Bayesian inference of spatio-temporal heat fluxes in rotating disc systems
Deveney, T., Mueller, E. & Shardlow, T., 5 Apr 2022.Research output: Working paper / Preprint › Preprint
Open AccessFile26 Downloads (Pure) -
Mathematical modelling of adjuvant-enhanced active ingredient leaf uptake of pesticides
Reyes, J. D., Shardlow, T., Delgado-Charro, M. B., Webb, S. & White, K. A. J., 20 Oct 2022.Research output: Working paper / Preprint › Preprint
File18 Downloads (Pure) -
The Regularised Inertial Dean-Kawasaki equation: discontinuous Galerkin approximation and modelling for low-density regime
Cornalba, F. & Shardlow, T., 20 Jul 2022.Research output: Working paper / Preprint › Preprint
File4 Downloads (Pure) -
Use of Bayesian statistics to calculate transient heat fluxes on compressor disks
Tang, H., Deveney, T., Shardlow, T. & Lock, G., 26 Apr 2022, In: Physics of Fluids. 34, 5, 056108.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (SciVal)22 Downloads (Pure) -
Active Latent Space Shape Model: A Bayesian Treatment of Shape Model Adaptation with an Application to Psoriatic Arthritis Radiographs
Rambojun, A., Tillett, W., Shardlow, T. & Campbell, N., 14 Jun 2021, (E-pub ahead of print) Proceedings - 2021 IEEE Winter Conference on Applications of Computer Vision, WACV 2021. U. S. A.: IEEE, p. 2042 - 2051 10 p. (Proceedings - 2021 IEEE Winter Conference on Applications of Computer Vision, WACV 2021).Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding
Open AccessFile18 Downloads (Pure)