Diego is Head of ML Engineering at GBI, where he shapes the ML strategy, infrastructure, and innovation powering the future of synthetic biology. He leads a team that builds cutting-edge solutions to advance GBI's mission in biological sequence design and discovery, working closely with staff and collaborators across the institute and EIT at large. His technical expertise includes sequence-to-function learning, control theory, nonlinear dynamics, stochastic processes, and metabolic modelling. Diego has substantial experience leading large training initiatives at doctoral and postdoctoral level, as well as collaborating with government units and global multi-stakeholder bodies such as the World Economic Forum and the OECD.

He holds a BSc and MSc in Electronic Engineering from Universidad Santa María (Chile) and a PhD from the Hamilton Institute (Ireland). He completed a Marie Curie Fellowship at INRIA (France) before founding his research team at the Department of Mathematics, Imperial College London. He currently holds a Personal Chair in Computational Biology at the University of Edinburgh.

Outside of work, Diego loves spending time with his family, cooking, and travelling.