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Matteo Gallidabino

Senior Lecturer in Forensic Science, Northumbria University, Newcastle

Matteo is an emerging academic and researcher in forensic science with a comprehensive background in the field (BSc, MSc and PhD degrees) that he obtained at the School of Criminal Justice of the University of Lausanne (Switzerland).

Currently Senior Lecturer in Forensic Science at the Northumbria University in Newcastle (UK), Matteo’s main interests span from chemical criminalistics to evidence interpretation. In particular, he is author of numerous innovative works where he successfully combined next-generation analytical techniques with advanced data analytics, to provide enhanced information in a forensic context and better support the Criminal Justice System in the decision-making process.

Matteo has received a number of excellence awards, including a Faculty Prize for the exceptional quality of his PhD thesis. He currently collaborates with many universities worldwide, as well as industrial and governmental partners, and he is professional member of both the Chartered Society of Forensic Science and the Royal Society of Chemistry.

Experience

  • 2018–present
    Senior Lecturer, Northumbria University (UK)
  • 2016–2017
    Post-Doctoral Fellow, King's College London (UK)
  • 2010–2015
    Graduate Teaching & Research Assistant, University of Lausanne (Switzerland)
  • 2014–2014
    Part-Time Research Fellow, University of Lausanne (Switzerland)
  • 2010–2010
    Visiting Researcher, Arma dei Carabinieri (Italy)

Education

  • 2016 
    University of Lausanne (Switzerland), PhD in Forensic Science
  • 2010 
    University of Lausanne (Switzerland), MSc in Forensic Science
  • 2008 
    University of Lausanne (Switzerland), BSc (Hons) in Forensic Science

Publications

  • 2021
    Ion beam analysis (IBA) and instrumental neutron activation analysis (INAA) for forensic characterisation of authentic Viagra® and of sildenafil-based illegal products, Talanta
  • 2020
    A study on contactless airborne transfer of textile fibres between different garments in small compact semi-enclosed spaces, Forensic Science International
  • 2020
    Estimation of the time since last discharge of firearms and spent ammunition elements: state of art and perspectives, Forensic Science International
  • 2019
    Targeted and non-targeted forensic profiling of black powder substitutes and gunshot residue using gradient ion chromatography – high resolution mass spectrometry (IC-HRMS), Analytica Chimica Acta
  • 2019
    Prediction of bioconcentration factors in fish and invertebrates using machine learning, Science of the Total Environment
  • 2019
    Quantitative profile-profile relationship (QPPR) modelling: a novel machine learning approach to predict and associate chemical characteristics of unspent ammunition from gunshot residue (GSR), Analyst
  • 2019
    Comparative assessment of a novel photo-anthropometric landmark-positioning approach for the analysis of facial structures on two-dimensional images, Journal of Forensic Sciences
  • 2018
    DNA methylation-based age prediction using massively parallel sequencing data and multiple machine learning models, Forensic Science International: Genetics
  • 2018
    Machine learning for environmental toxicology: a call for integration and innovation, Environmental Science & Technology
  • 2018
    Age estimation by assessment of pulp chamber volume: a Bayesian network for the evaluation of dental evidence, International Journal of Legal Medicine
  • 2018
    Suspect screening of halogenated carboxylic acids in drinking water using ion chromatography – high resolution (Orbitrap) mass spectrometry (IC-HRMS), Talanta
  • 2017
    Cartridge case and bullet comparison: examples of evaluative reporting, AFTE Journal
  • 2017
    Time since discharge of 9 mm cartridges by headspace analysis, part 2: ageing study and estimation of the time since discharge using multivariate regression, Forensic Science International
  • 2017
    Time since discharge of 9 mm cartridges by headspace analysis, part 1: comprehensive optimisation and validation of a headspace sorptive extraction (HSSE) method, Forensic Science International
  • 2016
    Probabilistic graphical models to deal with age estimation of living persons, International Journal of Legal Medicine
  • 2016
    Commentary on: Chang et al., J Forensic Sci, 2015;60(4);869-877, Journal of Forensic Science
  • 2015
    Commentary on: Gauriot et al., J Forensic Sci, 2013;58(5);1149-1155, Journal of Forensic Sciences
  • 2015
    Characterization of volatile organic gunshot residues in fired handgun cartridges by headspace sorptive extraction, Analytical and Bioanalytical Chemistry
  • 2014
    Development of a novel headspace sorptive extraction method to study the aging of volatile compounds in spent handgun cartridges, Analytical Chemistry
  • 2013
    Estimating the time since discharge of spent cartridges: a logical approach for interpreting the evidence, Science & Justice
  • 2011
    Differentiation of blue ballpoint pen inks by positive and negative LDI-MS, Forensic Science International

Grants and Contracts

  • 2018
    Quantitative profile-profile relationship (QPPR) modelling: a novel approach to predicting ammunition characteristics from gunshot residue (GSR) and associating different specimens
    Role:
    Principal Investigator
    Funding Source:
    Swiss National Science Foundation
  • 2016
    Analysis of explosives by ion chromatography coupled to high-resolution mass spectrometry (IC-HRMS)
    Role:
    Principal Investigator
    Funding Source:
    Swiss National Science Foundation

Professional Memberships

  • The Chartered Society of Forensic Sciences
  • The Royal Society of Chemistry

Research Areas

  • Statistics (0104)
  • Mathematical Sciences (01)
  • Separation Science (030108)
  • Applied Statistics (010401)
  • Chemical Sciences (03)
  • Forensic Statistics (010403)
  • Forensic Chemistry (039902)
  • Analytical Chemistry (0301)