Claudio Angione


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Academic appointments

Short bio

Teaching

Awards







Academic appointments

  • [2022 - ] Turing Network Development Award Lead, The Alan Turing Institute

  • [2022 - ] Internal Peer Review College, Teesside University, UK

  • [2021 - 2022] Member of the ACM

  • [2021 - ] Associate Editor, Frontiers in Systems Biology

  • [2021 - ] Editorial Board Member, Bentham Science

  • [2021] Panel member of the PNAS early career researcher focus group

  • [2021 - ] Academic Management and Leadership Administration for Impact, Teesside University, UK

  • [2021 - ] Grant Board member, Teesside University, UK

  • [2021 - ] Co-lead of the Research Centre "Centre for Digital Innovation", Teesside University, UK

  • [2020 - ] Associate Editor, BMC Bioinformatics

  • [2020 - ] Editorial Board, BioMed Research International

  • [2020] Guest Editor, MDPI Metabolites. Special issue on "Metabolic Modelling: Methods, Applications and Future Perspectives" [2020]

  • [2019 - ] Lead of the Research Group "Digital Health & Wellbeing", Teesside University, UK

  • [2019 - ] UK Doctoral Researcher Awards, Scientific Executive Committee member

  • [2018 - 2019] Visiting Professor, University of Bari, Italy

  • [2018 - 2019] Visiting Professor, KMUTT Bangkok, Thailand

  • [2018 - ] Fellow of the UK Higher Education Academy

  • [2018 - ] Global Challenge Research Fund (GCRF) board member, Teesside University, UK

  • [2017 - ] Impact champion (leading one REF impact case, co-leading another REF impact case), Teesside University, UK

  • [2017 - ] Grand challenge "Learning for the 21st century" Steering Group member, Teesside University, UK

  • [2017 - ] Computing REF UoA 11 Steering Group member, Teesside University, UK

  • [2017 - ] National Horizons Centre Steering Group member, Teesside University, UK

  • [2017 -] Research and Innovation Sub-Committee member, Teesside University, UK

  • [2017 -] Research Ethics Sub-Committee member, Teesside University, UK

  • [2015 -] Member of the Cambridge Metabolic Network at the University of Cambridge, UK

  • Reviewer for the following funding bodies: MRC Responsive Mode, BBSRC Responsive Mode, MRC Molecular & Cellular Medicine Board, USA-Israel Binational Science Foundation, Dutch Research Council (NWO), Poland National Science Centre, Novo Nordisk Foundation, British Lung Foundation - Asthma UK

  • Reviewer for the following journals: Nature Communications, PNAS, Nature Protocols, Cell Systems, Cell Reports, Metabolic Engineering, Cell Reports Medicine, Current Opinion in Biotechnology, Patterns (Cell Press), Bioinformatics, PLOS Computational Biology, Oncotarget, Computer Methods and Programs in Biomedicine, Briefings in Bioinformatics, iScience (Cell Press), Scientific Reports, Computational and Structural Biotechnology Journal, BMC Bioinformatics, Frontiers in Physiology, Metabolic Engineering Communications, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Biotechnology Journal, Medicinal Research Reviews, PLOS One, IEEE Journal of Biomedical and Health Informatics, Royal Society Open Science, BMC Immunology, Journal of Biological Systems, Microorganisms, Springer Plus, Springer LNBI

  • External examiner: PhD in Biology, University of York, 2022. PhD in Computer Science, University of Florence, 2022. PhD TU/e Eindhoven University of Technology, 2021. PhD Medical Studies, University of Plymouth, 2021. MSc (by research) in Biology, University of York, UK, 2021. PhD Programme in Computer Science and Mathematics, University of Bari, Italy, 2019. PhD IAC "M. Picone", National Research Council, Italy, 2019. PhD Faculty of Engineering, University of Pavia, Italy, 2019. PhD Department of Biology, University of Florence, 2018.

  • Internal examiner: PhD in Computer Science, Teesside University, 2019

  • Scientific/Program Committee member: CIBB 2021, IAIT-2021, AAAI-20, IAIT-2020, CSBio 2020, Complex Networks 2019, IJCAI-2019, CIBB 2019, IAIT 2018, CIBB 2018, VEMDP 2018, Complex Networks 2017, CIBB 2017, MASAMB 2016, Complex Networks 2016, CMSB 2016, CIBB 2016, ISCB NETTAB 2015, CIBB 2014

  • Chair: "Artificial Intelligence approaches in neurology" at the 8th European Academy of Neurology Congress - Europe 2022; "Data, Optimization, Model and Evaluation in Machine Learning" at CIBB 2021; "Computational tools" track: CMSB 2016, University of Cambridge, UK; "Multi-omic metabolic models and Statistical Bioinformatics" at CIBB 2015, National Research Council, Italy; "Artificial Immune, Neural and Endocrine Systems" track: ECAL 2013;

Short bio

  • [Aug 2019 - ] - Reader in Computer Science, Teesside University.

  • [Oct 2015 - Jul 2019] - I joined Teesside University as Senior Lecturer in Computer Science.

  • [Jun 2015 - Aug 2015] and [Sep 2014 - Dec 2014] - I worked at Microsoft Research.

  • [Apr 2015 - Jun 2015] - Research associate, Computer Laboratory, University of Cambridge, UK

  • [Apr 2015] - I completed my PhD in Computational Biology in April 2015 at the Computer Laboratory, University of Cambridge, supervised by Dr Pietro Lió. I am member of King's college.

  • [Oct 2013] - I was selected for the First Heidelberg Laureate Forum.

  • [Apr 2013] - I received the MSc diploma from the Institute for Advanced Studies of the University of Catania, with the thesis "Improving Satisfiability-solvers using Classical and Quantum Statistical Distributions".

  • [Jan 2012] - I was awarded the "Anile Prize 2011" for the best thesis at the Department of Mathematics and Computer Science of the University of Catania.

  • [Jul 2011] - I received the MSc degree in Mathematics from the University of Catania, with the thesis "Phase Transition Detection and Model Checking using Bose—Einstein Condensation in Random Satisfiability Problems", under the supervision of Dr Giuseppe Nicosia.

  • [Feb 2010] - I received the BSc diploma from the Institute for Advanced Studies of the University of Catania, with the thesis "Bose—Einstein Condensation in the k-SAT Problem".

  • [Jul 2009] - I received the BSc degree from the University of Catania, with the thesis "Chaotic Maps and Bose—Einstein Condensation for Algorithms and NP-Complete Problems", under the supervision of Dr Giuseppe Nicosia.

  • My current research interests include systems biology, multi-objective optimisation, organelle models, computation with molecular machines, and statistical-physical approaches in satisfiability problems.


Teaching

  • Statistical Methods, 2018-2019, 2019-2020, 2020-2021

  • Mathematics and Problem Solving, 2017-2018

  • Mathematics for Computing, 2015-2016, 2016-2017

  • Bioinformatics Tutorials, 2016-2017

Awards

© 2022 Claudio Angione