Howard Stone is the Tata Steel Professor of Metallurgy at the University of Cambridge.  His research interests centre on developing metallurgical understanding to realise benefits to the performance,processability, and profitability of engineering alloys.  This includes the design of conventional and novel alloys, understanding their response to processing, and determining the mechanistic origins of their properties.  He has particular interest in the use of neutron and synchrotron X-ray scattering to gain new insights into alloy behaviour and serves on the peer-review committees for international research facilities.

Prof Stone works extensively with industry, especially with companies in the steelmaking, aerospace, power generation and building materials sectors and has several patents for new alloys targeted at industrial applications.  He is the Principal Investigator of the new EPSRC Prosperity Partnership ADAPT-EAF, which will utilise AI tools to predict how scrap use will impact steel quality and processability.  This initiative will integrate AI tools with rapid alloy prototyping & testing to generate the data required, and pioneer steel grades suited to EAF processing for the automotive and packaging industries.