About

James Walsh is a final year PhD student working within the Use Less research group at the University of Cambridge. His work focuses on evaluating early-stage design decisions for sustainability of industrial installations. He is supervised by Dr Cyrille Dunant, advised by Dr André Cabrera Serrenho, and funded by EPSRC & AVEVA via FIBE2. He is also faculty at FDL Heliolab 2024 on the Thermospheric Density Continuous Learning project. He supervises 2nd year undergraduate mechanics for his College, where he was also the President of the Postgraduate Students’ Union (my manifesto is archived here for your entertainment).

James formerly worked on modelling battery degradation and social distance estimation within the Warwick Machine Learning Group placed at The Alan Turing Institute. He is particularly interested in applications of machine learning for sustainability and social good. James graduated with a BSc in Data Science from Warwick and completed his Master of Research at Cambridge through the FIBE programme. He was a Research Resident for a London AI start-up Cervest and a mentor for the African Data Science charity Ishango.ai.