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Claudio Angione

Dr

 https://orcid.org/0000-0002-3140-7909

Accepting PhD Students

20122021

Research activity per year

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Personal profile

Academic Biography

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

Dr Claudio Angione is a Reader in Computer Science at Teesside University, within the Department of Computer Science and Information Systems.

He also held two Visiting Professor positions at the University of Bari, in Italy, and at KMUTT, in Thailand.

He joined the university in 2015 as a Senior Lecturer, after a PostDoc at the University of Cambridge, and a research intern position at Microsoft Research UK.

He holds a PhD in Computer Science from the University of Cambridge, UK,  awarded in 2015 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 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.

Dr Angione's research group works at the intersection of computer science, mathematics and biology. Research topics include machine/deep learning, biomedical modelling and optimisation, systems biology, genome-scale cell models, statistical big data analytics. He has published more than 50 peer-reviewed papers in leading international conferences and high impact journals. He has recently received several awards for his outstanding academic contributions in the community, including an award by the Italian Embassy for the best research project in the Physical and Engineering Sciences in 2016.

He currently serves as Associate Editor for BMC Bioinformatics, and as Editorial Board Member for BioMed Research International. He regularly serves as a reviewer for BBSRC Responsive Mode and MRC Responsive Mode grants.

He also serves as a Program Committee member for top AI and Mathematical Modelling conferences, and as a reviewer for top Computational Biology journals, including Nature Communications, PNAS, Nature Protocols, Cell Systems, Cell Reports, Metabolic Engineering, Bioinformatics, Oncotarget, Briefings in Bioinformatics, PLOS Computational Biology, BMC Bioinformatics.

Summary of Research Interests

  • Metabolic modelling
  • Machine learning
  • Deep learning
  • Cancer metabolism
  • Systems biology
  • Genome-scale models
  • Multi-objective optimization

Education/Academic qualification

PhD, University of Cambridge

External positions

Visiting Professor, King Mongkut's University of Technology Thonburi

2019

Visiting Professor, University of Bari

2019

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