Professor Tim Dodwell

Professor Tim Dodwell leads the Data Centric Engineering Group at Exeter and is the co-founder and CTO of digiLab. At the university he holds a personal chair in Machine Learning which straddles the Department of Mechanical Engineering and the Institute of Data Science and AI.

He currently holds a prestigious 5 year Turing AI Fellowship with the Alan Turing Institute and is the Romberg Visiting Professorship at Heidelberg in Scientific Computing. Externally he is on the editorial board for Proceedings of Royal Society London A, SIAM Journal of Uncertainty Quantification and Computer Physics Communications.

At Exeter in his academic career, his interdisciplinary Data Centric Engineering Group does leading research at the dynamic interface between applied mathematics, probabilistic machine learning and high-performance scientific computing. Spanning all aspects of research from fundamental theory in data science and AI to applied industrial focused digital twin projects. He is particularly know for his work on Multilevel Methods in Bayesian Inverse Problems, Generative Hyrbid Modelling and Machine Learning in Safety Critical Engineering

At digiLab, a fast growing Exeter deep tech startup, Tim is trailblazing the tech vision. Something digiLab calls 'How to do AI in the wild?'. On this front digiLab does three core activities.

• digiLab focus on building first of a kind solutions for challenging AI problems in sustainability. Currently we are working in Nuclear Fusion, Air Traffic Control, Nuclear Decommission, Aerospace Materials, Water Treatement and Urban Solar Farms.
• digiLab are building a general, easy to use, Machine Learning Platform called twinLab. twinLab enables engineers to access state of the art Machine Learning tools, without the need for lengthy method development, software engineering and testing. We do that bit! It has demonstrated 60k fold speed up in intelligent reducing simulation times, and a time-to-value in ML adopt of 90% to our key early adopters.
• digiLab are passionate educators, and are currently building a dynamic ML academy, with the aim of training the best ML practioners. From Summer 2023, this will include datacamps, tailored business machine learning courses, data science internships and online training course. Look out for our insights blog - this week with an article on "supervised vs unsupervised learning"

Look out for Machine Learning Jobs @digiLab as they get posted on the company site - here.

Academic Bio.

Tim obtain a 1st class honours for a BSc in Mathematics at the University of Bath (2004-2008). During his degree he took a year out to develop stochastic models for exotic options pricing while working in the city. He then obtained a PhD in Applied Mathematics (2009-2012) at the Bath Institute of Complex Systems. During this time he studied variational models for understanding complex materials (supervised by Prof Giles Hunt and Prof Mark Peletier). For 18 months following his PhD, he worked on a joint project with GKN Aerospace on modelling the formation of defects during manufacturing of composites. Since then he had a series of fellowship awards, which have spanned his research interests in mathematical modelling, multiscale methods, Bayesian inverse problems, high performance numerical solvers and now probabilistic machine learning.

• Prize Fellowship in Engineering Mathematics, Department of Mechanical Engineering, University of Bath, 2013-2015
• Pro Vice Chancellors Fellowship in Engineering Mathematics, Department of Mechanical Engineering, University of Exeter, 2015-2018.
• Turing AI Fellow, The Alan Turing Institute and University of Exeter, 2019-2024.

These fellowships have matched his academic progression,

• Lecturer (Bath, 2013-2015)
• Senior Lecturer (Exeter, 2015-2019)
• Full Professor (Exeter 2019-present).