Claudio Angione

Dr Claudio Angione joined Teesside University in 2015 as a Senior Lecturer in Computer Science.

Before joining Teesside, he worked at Microsoft Research in Cambridge and as a Research Associate at the University of Cambridge.

Claudio holds a PhD in Computer Science at the University of Cambridge, UK, with a thesis titled "Computational methods for multi-omic models of cell metabolism and their importance for theoretical computer science".

He previously obtained a Degree in Applied Mathematics from the University of Catania, Italy. He also obtained a Higher Education Diploma from the Institute for Advanced Studies of the University of Catania, Italy.

His research interests are at the intersection of computer science, mathematics and biology. They include systems biology of genome-scale models, cancer metabolism, machine learning, multi-objective optimisation, computation with molecular Turing machines, and statistical-physical approaches in satisfiability problems.

Personal webpage: https://www.scm.tees.ac.uk/c.angione/

• Multi-omic models of cell metabolism
• Machine and deep learning
• Cancer metabolism
• Systems biology of genome-scale models
• Multi-objective optimization
• Living organisms as Turing machines