Milo's research integrates computational differential and discrete geometry to tackle challenges in materials science and statistical learning. Holding a Ph.D. in Computer Science from the University of Liverpool, with a background in mathematical sciences, he focuses on the development of geometric methodologies for crystal structure prediction workflows. His research aims to uncover geometric principles underlying molecular assembly processes and apply these insights to the targeted design of materials. By employing advanced computational techniques, he strives to bridge molecular dynamics and practical applications in material design through purely geometric modelling