Summary
Gavin Smith is an Associate Professor and data science lead at The University of Nottingham's N/LAB with 14 years of experience applying machine learning and time-series data mining to real-world commercial and policy problems. He holds a PhD in Computer Science and combines theoretical contributions—published at venues like NeurIPS, ICDM and PERCOM—with applied work for partners including Walgreens Boots Alliance, Co-op, World Bank, M&S and Tesco. His research spans explainable AI, event-series prediction and limits of human-mobility predictability, and he has translated those advances into deployed decision-support metrics and algorithms. Since 2023 he also serves as CTO of Arcaidium, bridging academic innovation with product-focused engineering leadership. Based in Nottingham, he is comfortable moving from rigorous theoretical analysis to building practical solutions that influence business and policy. An often-overlooked strength is his track record of publishing both high-impact theory and interdisciplinary applied studies across computing, social science and environmental venues.
14 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of South Australia
Exchange (Faculty of Engineering and Science), Computer Science, Exchange (Faculty of Engineering and Science), Computer Science at Link��ping University