Allen Hart
University of Warwick, Coventry, UK allen.hart@warwick.ac.uk
Education
PhD in Statistical and Applied Mathematics (2017–2021) University of Bath, Bath, UK Thesis on neural networks and dynamical systems; focus on recurrent neural networks, reservoir computing, and embedding theorems.
MSci Mathematics and Physics (1st Class Honours) (2013–2017) University of Bath, Bath, UK
A-Levels (2011–2013) Slough Grammar School, Slough, UK Mathematics (A*), Further Mathematics (A*), Physics (A), History (AS, A)
Research and Professional Experience
Innovation Research Associate (Present) University of Warwick, Coventry, UK
- Algorithms and infrastructure for vector similarity search
- Developing software for battery optimisation
Research Fellow, Project Bluebird (2023–2024) University of Exeter / Alan Turing Institute / NATS, Exeter, UK
- Collaboration between the Turing Institute, Exeter University, and NATS to automate air traffic control
Data Science Intern (2022) Spectra Analytics (Patchs Health), London, UK
- Deployed ML models for healthcare applications
Research Intern (2015–2016) Institut Laue–Langevin, Grenoble, France
- Studying the diffraction of neutrons through ice and graphite surfaces
Teaching Experience
Postgraduate Teaching Assistant (2022) University of Bath, Bath, UK Delivered online MSc module on neural networks and imaging; supervised assignments and critical reviews of recent ML papers.
Undergraduate Mathematics Tutor (2017–2021) University of Bath, Bath, UK 600+ hours tutoring mathematics and computer science undergraduates.
Private Mathematics and Science Tutor (2018–2021) TutorFair, Ivy Education, UK 200+ hours tutoring GCSE and A-level students in maths, physics, and further maths.
Publications
2025 — Hart, A.G. Generic and isometric embeddings in reservoir computers. Chaos: An Interdisciplinary Journal of Nonlinear Science, 35(11), 111103. DOI
2024 — Hart, A.G. Generalised synchronisations, embeddings, and approximations for continuous time reservoir computers. Physica D: Nonlinear Phenomena, 458, 133956. DOI
2023 — Grigoryeva, L., Hart, A., Ortega, J.P. Learning strange attractors with reservoir systems. Nonlinearity, 36(9), 4674. DOI
2022 — Hart, A.G. Reservoir Computing with Dynamical Systems. PhD Thesis, University of Bath. Link
2021 — Grigoryeva, L., Hart, A., Ortega, J.P. Chaos on compact manifolds: Differentiable synchronizations beyond the Takens theorem. Physical Review E, 103(6), 062204. DOI
2021 — Hart, A.G., Hook, J.L., Dawes, J.H.P. Echo state networks trained by Tikhonov least squares are L²(μ) approximators of ergodic dynamical systems. Physica D: Nonlinear Phenomena, 421, 132882. DOI
2021 — Burridge, H.C., Bhagat, R.K., Stettler, M.E.J., Kumar, P., De Mel, I., Demis, P., Hart, A., et al. The ventilation of buildings and other mitigating measures for COVID-19: a focus on wintertime. Proceedings of the Royal Society A, 477(2247), 20200855. DOI
2021 — Hart, A.G., Olding, K.R., Cox, A.M.G., Isupova, O., Dawes, J.H.P. Using echo state networks to approximate value functions for control. arXiv preprint arXiv:2102.06258. Link
2020 — Hart, A., Hook, J., Dawes, J. Embedding and approximation theorems for echo state networks. Neural Networks, 128, 234–247. DOI
2019 — Hart, A.G., Hansen, T.C., Kuhs, W.F. A hidden Markov model for describing turbostratic disorder applied to carbon blacks and graphene. Acta Crystallographica Section A, 75(3), 501–516. DOI
2018 — Hart, A.G., Hansen, T.C., Kuhs, W.F. A Markov theoretic description of stacking-disordered aperiodic crystals including ice and opaline silica. Acta Crystallographica Section A, 74(4), 357–372. DOI
Selected Conference Talks
2023 — International Congress on Industrial and Applied Mathematics (Tokyo) Learning Strange Attractors with Reservoir Systems
2022 — Differential Equations for Data Science (Online) Embedding and Approximation with Reservoir Computing
2021 — SIAM Conference on Applications of Dynamical Systems (Online) Time Series Forecasting with Reservoir Computing
Service
Reviewer for: IEEE TNNLS, Neural Networks, Physica D, Physical Review E, Chaos, SIAM J. Applied Mathematics, Journal of Computational Physics, Springer Nature.