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
Projects
- 5 Finished
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Shape modelling for predicting risk of early onset hip osteoarthritis
Shardlow, T. (PI), Gill, R. (CoI), Kyprianou, A. (CoI) & Rambojun, A. (Researcher)
Engineering and Physical Sciences Research Council
4/07/22 → 1/09/23
Project: Research council
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MAchine Learning And Rheumatic Diseases
Shardlow, T. (PI)
Royal United Hospitals Bath NHS Foundation Trust
1/03/22 → 31/03/23
Project: Central government, health and local authorities
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Automated Image Recognition in Psoriatic Arthritis: AI-PsA
Shardlow, T. (PI)
Royal United Hospitals Bath NHS Foundation Trust
1/06/20 → 1/11/23
Project: Central government, health and local authorities
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Collaborative Work with Stephen Marsland (Massey University NZ)
Shardlow, T. (PI)
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. (PI), Budd, C. (CoI), Jennison, C. (CoI), Lindgren, F. (CoI) & Scheichl, R. (CoI)
Engineering and Physical Sciences Research Council
1/05/14 → 31/01/15
Project: Research council
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Sparse Nystrom Approximation of Currents and Varifolds
Paul, A., Campbell, N. & Shardlow, T., 14 Jun 2024, (Submitted) arXiv.Research output: Working paper / Preprint › Preprint
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Compressed online Sinkhorn
Wang, F., Poon, C. & Shardlow, T., 8 Oct 2023, arXiv.Research output: Working paper / Preprint › Preprint
File19 Downloads (Pure) -
Deep Surrogate Accelerated Delayed-Acceptance Hamiltonian Monte Carlo for Bayesian Inference of Spatio-Temporal Heat Fluxes in Rotating Disc Systems
Deveney, T., Mueller, E. H. & Shardlow, T., 1 Sept 2023, In: SIAM/ASA Journal on Uncertainty Quantification. 11, 3, p. 970-995 26 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (SciVal)27 Downloads (Pure) -
Mathematical modelling of droplet evaporation and surfactant effects on pesticide leaf uptake
Delos Reyes, J., Shardlow, T., Delgado-Charro, B., Webb, S. & White, J., 23 Jan 2023, (Submitted) 16 p.Research output: Working paper / Preprint › Preprint
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The Regularised Inertial Dean-Kawasaki equation: discontinuous Galerkin approximation and modelling for low-density regime
Cornalba, F. & Shardlow, T., 31 Oct 2023, In: ESAIM: Mathematical Modelling and Numerical Analysis. 57, p. 3061–3090 30 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (SciVal)4 Downloads (Pure)
Activities
- 1 Major conference organising role
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ICMS Strategic Workshop on "New Directions for Stochastic Differential Equations and Machine Learning"
Foster, J. (Organiser), Shardlow, T. (Organiser), Campbell, N. (Organiser), Subr, K. (Organiser) & Wu, Y. (Organiser)
3 Jun 2024 → 7 Jun 2024Activity: Academic conferences and events (excluding conference publications) › Major conference organising role