Richard Everson graduated with a degree in Physics from Cambridge University and a PhD in Applied Mathematics from Leeds University in 1988. He worked at Brown and Yale Universities on fluid mechanics and data analysis problems until moving to Rockefeller University, New York to work on optical imaging and modelling of the visual cortex. After working at Imperial College, London, he was appointed lecturer at Exeter University in 1999, where he is now a Professor of Machine Learning and Director of the Institute for Data Science and AI.
His current research interests are in machine learning and optimisation, and the interplay between them. Current research projects include: surrogate modelling and Bayesian optimisation for optimisation of expensive-to-evaluate functions, such as computational fluid dynamics design problems; use of novel data, such as social media, in predicting damage from high winds; tracking-by-parts in video; automatic analysis of video for sewer inspection; linking of accelerometer data to physical activity; and clustering to understand dementia diagnoses. He works closely with industrial partners on topics ranging from air traffic control to detecting lameness in cows.