Dr Sam Mace
Sam is a computational chemist and scientific software developer who builds tools that close the gap between in-silico prediction and experimental reality. As the ML computational chemist, he works synergistically with the experimental team to provide insight into protein-metal binding and shortlist new proteins in unexplored space. Sam’s motivation is to help build the infrastructure for a secure, sustainable, and circular economy; metal recycling is a fundamental requirement for this shift.
/ Education
BSc Biochemistry, MRes Physics, PhD Chemistry candidate.
/ Recognition
Research experience working at the boundary of macromolecular modelling and experimental characterisation, including large-scale bioinformatics, classical and quantum mechanical modelling, and in vitro protein characterisation and engineering.