Matteo Degiacomi

Matteo Degiacomi is a Reader in Biomedical Artificial Intelligence at The University of Edinburgh, Department of Computing Science. His research focuses on the application of artificial intelligence to biomedical problems. Degiacomi's work is supported by his affiliation with the university and his role as a faculty member in the Computing Science department. His professional contact details include an email address and a personal website where further information about his research and academic profile can be found.

Matteo Degiacomi is a Reader at the University of Edinburgh specializing in computational biophysics, protein assembly, molecular dynamics, and machine learning. His research focuses on understanding the structural and functional mechanisms of membrane proteins, protein-lipid interactions, and the dynamics of molecular assembly processes. By integrating computational methods with experimental data, he investigates how proteins and lipids interact to modulate structure and function. His work includes studies on amyloidogenesis, ion transporters, and supramolecular machines, with applications in structural proteomics and prebiotic chemistry. Degiacomi's research bridges computational modeling and experimental techniques to uncover the molecular principles underlying biological systems.