[{"content":" Allen Hart University of Warwick, Coventry, UK allen.hart@warwick.ac.uk\nEducation 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.\nMSci Mathematics and Physics (1st Class Honours) (2013–2017) University of Bath, Bath, UK\nA-Levels (2011–2013) Slough Grammar School, Slough, UK Mathematics (A*), Further Mathematics (A*), Physics (A), History (AS, A)\nResearch and Professional Experience Innovation Research Associate (Present) University of Warwick, Coventry, UK\nAlgorithms 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\nCollaboration between the Turing Institute, Exeter University, and NATS to automate air traffic control Data Science Intern (2022) Spectra Analytics (Patchs Health), London, UK\nDeployed ML models for healthcare applications Research Intern (2015–2016) Institut Laue–Langevin, Grenoble, France\nStudying 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.\nUndergraduate Mathematics Tutor (2017–2021) University of Bath, Bath, UK 600+ hours tutoring mathematics and computer science undergraduates.\nPrivate Mathematics and Science Tutor (2018–2021) TutorFair, Ivy Education, UK 200+ hours tutoring GCSE and A-level students in maths, physics, and further maths.\nPublications 2025 — Hart, A.G. Generic and isometric embeddings in reservoir computers. Chaos: An Interdisciplinary Journal of Nonlinear Science, 35(11), 111103. DOI\n2024 — Hart, A.G. Generalised synchronisations, embeddings, and approximations for continuous time reservoir computers. Physica D: Nonlinear Phenomena, 458, 133956. DOI\n2023 — Grigoryeva, L., Hart, A., Ortega, J.P. Learning strange attractors with reservoir systems. Nonlinearity, 36(9), 4674. DOI\n2022 — Hart, A.G. Reservoir Computing with Dynamical Systems. PhD Thesis, University of Bath. Link\n2021 — Grigoryeva, L., Hart, A., Ortega, J.P. Chaos on compact manifolds: Differentiable synchronizations beyond the Takens theorem. Physical Review E, 103(6), 062204. DOI\n2021 — 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\n2021 — 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\n2021 — 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\n2020 — Hart, A., Hook, J., Dawes, J. Embedding and approximation theorems for echo state networks. Neural Networks, 128, 234–247. DOI\n2019 — 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\n2018 — 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\nSelected Conference Talks 2023 — International Congress on Industrial and Applied Mathematics (Tokyo) Learning Strange Attractors with Reservoir Systems\n2022 — Differential Equations for Data Science (Online) Embedding and Approximation with Reservoir Computing\n2021 — SIAM Conference on Applications of Dynamical Systems (Online) Time Series Forecasting with Reservoir Computing\nService Reviewer for: IEEE TNNLS, Neural Networks, Physica D, Physical Review E, Chaos, SIAM J. Applied Mathematics, Journal of Computational Physics, Springer Nature.\n","permalink":"https://allengrahamhart.github.io/cv/","summary":"\u003cdiv class=\"cv-page\"\u003e\n\u003ch1 id=\"allen-hart\"\u003eAllen Hart\u003c/h1\u003e\n\u003cp\u003eUniversity of Warwick, Coventry, UK\n\u003ca href=\"mailto:allen.hart@warwick.ac.uk\"\u003eallen.hart@warwick.ac.uk\u003c/a\u003e\u003c/p\u003e\n\u003ch2 id=\"education\"\u003eEducation\u003c/h2\u003e\n\u003cp\u003e\u003cstrong\u003ePhD in Statistical and Applied Mathematics\u003c/strong\u003e (2017–2021)\nUniversity of Bath, Bath, UK\n\u003cem\u003eThesis on neural networks and dynamical systems; focus on recurrent neural networks, reservoir computing, and embedding theorems.\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMSci Mathematics and Physics (1st Class Honours)\u003c/strong\u003e (2013–2017)\nUniversity of Bath, Bath, UK\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eA-Levels\u003c/strong\u003e (2011–2013)\nSlough Grammar School, Slough, UK\nMathematics (A*), Further Mathematics (A*), Physics (A), History (AS, A)\u003c/p\u003e\n\u003chr\u003e\n\u003ch2 id=\"research-and-professional-experience\"\u003eResearch and Professional Experience\u003c/h2\u003e\n\u003cp\u003e\u003cstrong\u003eInnovation Research Associate\u003c/strong\u003e (Present)\nUniversity of Warwick, Coventry, UK\u003c/p\u003e","title":"CV \u0026 Publications"},{"content":"Welcome Welcome to my new academic website! I\u0026rsquo;ll be using this space to share:\nUpdates about my research New publications and preprints Teaching materials and resources Thoughts on my field of study About This Site This website is built using:\nHugo - A fast and flexible static site generator Hugo Blox (Academic theme) - A popular theme for academic websites GitHub Pages - Free hosting for static sites Stay Updated Check back regularly for new posts, or subscribe to the RSS feed to get notifications when I publish new content.\nFeel free to reach out if you have questions about my research or would like to collaborate!\n","permalink":"https://allengrahamhart.github.io/post/getting-started/","summary":"Welcome to my new academic website built with Hugo.","title":"Welcome to My Academic Website"},{"content":"About Me In May 2025 I started working as an Innovation Research Associate (InRA) at Warwick University, a role where I work on a wide range of exciting projects collaborating with academics and industry partners, including battery optimisation and efficient vector search. I am very interested in AI safety and forecasting, and am studying the capabilities of AI agents to autonomously conduct pure and applied mathematics research.\nI completed my PhD at the University of Bath as part of the SAMBa CDT, which included a masters degree in statistics and applied mathematics. My research was into an esoteric recurrent neural network called a Reservoir Computer, which has random features and is trained with linear regression. Alongside my PhD research I collaborated with a COVID modelling group as part of the Rapid Assistance in Modelling the Pandemic (RAMP) team.\nSince the PhD I interned at the tech start up PatchsHealth (previously Spectra) specialising in AI for healthcare applications, and worked as a research fellow at the University of Exeter on Project Bluebird. Bluebird is an ongoing collaboration between the University of Exeter, the Alan Turing institute, and NATS to automate air traffic control. Before the PhD I spent two summers at the nuclear facility l\u0026rsquo;Institute Laue Langevin (ILL) in Grenoble studying the diffraction of neutrons through ice and graphite surfaces.\nEducation PhD in Statistical Applied Mathematics, University of Bath, 2021 Msci in Mathematics and Physics, University of Bath, 2017 Contact Email: allen.hart@warwick.ac.uk and allenhart094@gmail.com Office: Mathematics Department, University of Warwick, Coventry, UK ","permalink":"https://allengrahamhart.github.io/about/","summary":"about","title":"About"}]