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Claudio Angione


Home >> About me



Academic appointments

Short bio

Teaching

Awards







Academic appointments

  • [2022 - ] Turing Network Development Award LeadThe Alan Turing Institute

  • [2022 - ] Internal Peer Review CollegeTeesside UniversityUK

  • [2021 - 2022] Member of the ACM

  • [2021 - ] Associate EditorFrontiers in Systems Biology

  • [2021 - ] Editorial Board MemberBentham Science

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

  • [2021 - ] Academic Management and Leadership Administration for ImpactTeesside UniversityUK

  • [2021 - ] Grant Board memberTeesside UniversityUK

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

  • [2020 - ] Associate EditorBMC Bioinformatics

  • [2020 - ] Editorial BoardBioMed Research International

  • [2020] Guest EditorMDPI Metabolites. Special issue on "Metabolic Modelling: MethodsApplications and Future Perspectives" [2020]

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

  • [2019 - ] UK Doctoral Researcher AwardsScientific Executive Committee member

  • [2018 - 2019] Visiting ProfessorUniversity of BariItaly

  • [2018 - 2019] Visiting ProfessorKMUTT BangkokThailand

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

  • [2018 - ] Global Challenge Research Fund (GCRF) board memberTeesside UniversityUK

  • [2017 - ] Impact champion (leading one REF impact caseco-leading another REF impact case)Teesside UniversityUK

  • [2017 - ] Grand challenge "Learning for the 21st century" Steering Group memberTeesside UniversityUK

  • [2017 - ] Computing REF UoA 11 Steering Group memberTeesside UniversityUK

  • [2017 - ] National Horizons Centre Steering Group memberTeesside UniversityUK

  • [2017 -] Research and Innovation Sub-Committee memberTeesside UniversityUK

  • [2017 -] Research Ethics Sub-Committee memberTeesside UniversityUK

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

  • Reviewer for the following funding bodies: MRC Responsive ModeBBSRC Responsive ModeMRC Molecular & Cellular Medicine BoardUSA-Israel Binational Science FoundationDutch Research Council (NWO)Poland National Science CentreNovo Nordisk FoundationBritish Lung Foundation - Asthma UK

  • Reviewer for the following journals: Nature CommunicationsPNASNature ProtocolsCell SystemsCell ReportsMetabolic EngineeringCell Reports MedicineCurrent Opinion in BiotechnologyPatterns (Cell Press)BioinformaticsPLOS Computational BiologyOncotargetComputer Methods and Programs in BiomedicineBriefings in BioinformaticsiScience (Cell Press)Scientific ReportsComputational and Structural Biotechnology JournalBMC BioinformaticsFrontiers in PhysiologyMetabolic Engineering CommunicationsIEEE/ACM Transactions on Computational Biology and BioinformaticsBiotechnology JournalMedicinal Research ReviewsPLOS OneIEEE Journal of Biomedical and Health InformaticsRoyal Society Open ScienceBMC ImmunologyJournal of Biological SystemsMicroorganismsSpringer PlusSpringer LNBI

  • External examiner: PhD in BiologyUniversity of York2022. PhD in Computer ScienceUniversity of Florence2022. PhD TU/e Eindhoven University of Technology2021. PhD Medical StudiesUniversity of Plymouth2021. MSc (by research) in BiologyUniversity of YorkUK2021. PhD Programme in Computer Science and MathematicsUniversity of BariItaly2019. PhD IAC "M. Picone"National Research CouncilItaly2019. PhD Faculty of EngineeringUniversity of PaviaItaly2019. PhD Department of BiologyUniversity of Florence2018.

  • Internal examiner: PhD in Computer ScienceTeesside University2019

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

  • Chair: "Artificial Intelligence approaches in neurology" at the 8th European Academy of Neurology Congress - Europe 2022; "DataOptimizationModel and Evaluation in Machine Learning" at CIBB 2021; "Computational tools" track: CMSB 2016University of CambridgeUK; "Multi-omic metabolic models and Statistical Bioinformatics" at CIBB 2015National Research CouncilItaly; "Artificial ImmuneNeural and Endocrine Systems" track: ECAL 2013;

Short bio

  • [Aug 2019 - ] - Reader in Computer ScienceTeesside 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 associateComputer LaboratoryUniversity of CambridgeUK

  • [Apr 2015] - I completed my PhD in Computational Biology in April 2015 at the Computer LaboratoryUniversity of Cambridgesupervised 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 Cataniawith 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 Cataniawith 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 Cataniawith the thesis "Bose—Einstein Condensation in the k-SAT Problem".

  • [Jul 2009] - I received the BSc degree from the University of Cataniawith 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 biologymulti-objective optimisationorganelle modelscomputation with molecular machinesand statistical-physical approaches in satisfiability problems.


Teaching

  • Statistical Methods2018-20192019-20202020-2021

  • Mathematics and Problem Solving2017-2018

  • Mathematics for Computing2015-20162016-2017

  • Bioinformatics Tutorials2016-2017

Awards

© 2022 Claudio Angione