Matthew Pugh is a doctoral candidate at the University of Southampton studying the applications of Category Theory for Machine Learning. After being awarded the 2017 Future Industry Leaders Award by the Engineering Development Trust, he completed his BSc in Mechatronic Engineering (1st) as a UKESF scholar. In 2020, he was accepted onto the MINDs centre for doctoral training iPhD.

Dr. Jo Grundy completed a BSc in Chemistry at Exeter University, a P.G.C.E. at Durham University, and then taught before doing an MSc and DPhil in Organometallic Chemistry at Sussex University. She then completed a postdoc with Prof. Mathey at UC Riverside before returning to teaching. In 2012, she started to study Programming and Machine Learning online before taking an MSc in AI at the University of Southampton and then staying on as a Teaching Fellow. Subsequently, Jo gained the position of Research Fellow, investigating the analysis of multivariate time series data for anomaly detection for use in the detection of early wear on surfaces in contact.

Dr. Corina Cirstea is an Associate Professor in the Agents, Interaction, and Complexity research group in the School of Electronics and Computer Science at the University of Southampton. She received an MSc from Babeș-Bolyai University in 1993. She holds a DPhil in Computation from the University of Oxford in 2000. She was the holder of a Junior Research Fellowship in Computer Science at St. John’s College Oxford (1999–2003) before joining the University of Southampton. Her research interests are in logic and models of computation, more specifically in coalgebras, their close connection to modal logics, and their applications to automated verification.

Dr. Nick Harris is a Professor of Advanced Sensor Technologies at the Department of Electronics and Computer Science, University of Southampton, Southampton. He has authored or co-authored over 200 publications and patents in these fields. He is a Chartered Engineer, a Fellow of the IET, and a Co-Founder of Perpetuum Ltd., a spin-out company specializing in energy harvesting systems and data processing for condition monitoring applications. His research interests include distributed sensors for agriculture and environmental monitoring, machine learning approaches for distributed sensor systems, self-powered and embedded health and usage monitors, and novel environmental energy harvesters.