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Dr Matteo Gallidabino

Senior Lecturer

Department: Applied Sciences

Matteo has a comprehensive education in forensic science that he obtained at the prestigious School of Criminal Justice (a.k.a., Ecole des Sciences Criminelles, ESC) of the University of Lausanne in Switzerland. Here, he received his BSc degree in 2008 and his MSc degree in 2010, both with First Class final awards. He later enrolled for a PhD programme and obtained his degree in 2016, with a thesis on the analysis of volatile organic gunshot residues through new-generation extraction techniques for estimating the time since discharge of spent cartridge cases.

During his time at ESC, Matteo also held the positions of Graduate Teaching Assistant, Lecturer and Part-Time Researcher. He was particularly involved in teaching forensic ballistics, firearms identification and gunshot residue analysis as part of both UG and PG programmes. In addition to this, he was involved in casework as an expert witness for a number of national and international cases, as well as in the development of an enhanced learning web platform to assist students in approaching the pre-assessment of forensic cases.

After his PhD, Matteo was awarded a personal research grant by the Swiss National Science Foundation (SNSF) for a Post-Doctoral Fellow position at King’s College London (KCL) in the King’s Forensics Unit. Here, he led several research projects in forensic and environmental sciences, and was particularly involved in the development of a novel ion chromatography – high resolution mass spectrometry (IC-HRMS) method for the detection and profiling of low-order explosives. At the end of this two-years research stay, he joined Northumbria University in 2018, as a Senior Lecturer in Forensic Science.

Despite being still early on in his career, Matteo has published many papers in highly-ranked forensic and analytical journals. For his outstanding academic performance and high quality of research, he received two excellence awards, including a Faculty Prize in recognition of the exceptional results of his PhD thesis. Furthermore, he has been a Visiting Researcher at a number of police institutions, for example the Italian Carabinieri in Rome. Matteo has a successful track record in obtaining research grants and strong connections with a number of people in his field, thanks to collaborations with academic and industrial partners. Finally, he is a member of both the Royal Society of Chemistry and the Chartered Society of Forensic Science.

Matteo Gallidabino

Campus Address

A403, Ellison Building
Northumbria University
Newcastle upon Tyne


  • Chemistry PhD
  • Chemistry MSc
  • Chemistry BSc (Hons)
  • Professional Member of the Chartered Society of Forensic Sciences MCSFS 2017
  • Member of the Royal Society of Chemistry MRSC 2016

Key Publications

  • Please visit the Pure Research Information Portal for further information
  • Comparative Assessment of a novel photo-anthropometric landmark-positioning approach for the analysis of facial structures on two-dimensional images, Flores, M., Machado, C., Gallidabino, M., de Arruda, G., da Silva, R., de Vidal, F., Melani, R. May 2019, In: Journal of Forensic Sciences
  • Prediction of bioconcentration factors in fish and invertebrates using machine learning, Miller, T., Gallidabino, M., Macrae, J., Owen, S., Bury, N., Barron, L. 15 Jan 2019, In: Science of the Total Environment
  • Quantitative profile-profile relationship (QPPR) modelling: a novel machine learning approach to predict and associate chemical characteristics of unspent ammunition from gunshot residue (GSR), Gallidabino, M., Barron, L., Weyermann, C., Romolo, F. 21 Feb 2019, In: The Analyst
  • Targeted and non-targeted forensic profiling of black powder substitutes and gunshot residue using gradient ion chromatography – high resolution mass spectrometry (IC-HRMS), Gallidabino, M., Irlam, R., Salt, M., O’Donnell, M., Beardah, M., Barron, L. 23 Sep 2019, In: Analytica Chimica Acta
  • Age estimation by assessment of pulp chamber volume: a Bayesian network for the evaluation of dental evidence, Sironi, E., Taroni, F., Baldinotti, C., Nardi, C., Norelli, G., Gallidabino, M., Pinchi, V. 1 Jul 2018, In: International Journal of Legal Medicine
  • DNA methylation-based age prediction using massively parallel sequencing data and multiple machine learning models, Aliferi, A., Ballard, D., Gallidabino, M., Thurtle, H., Barron, L., Syndercombe Court, D. Nov 2018, In: Forensic Science International: Genetics
  • Machine learning for environmental toxicology, Miller, T., Gallidabino, M., Macrae, J., Hogstrand, C., Bury, N., Barron, L., Snape, J., Owen, S. 20 Nov 2018, In: Environmental Science and Technology
  • Suspect screening of halogenated carboxylic acids in drinking water using ion exchange chromatography – High resolution (Orbitrap) mass spectrometry (IC-HRMS), Gallidabino, M., Hamdan, L., Murphy, B., Barron, L. 1 Feb 2018, In: Talanta
  • Cartridge case and bullet comparison: examples of evaluative reporting, Kerkhoff, W., Stoel, R., Mattijssen, E., Hermsen, R., Hertzman, P., Hazard, D., Gallidabino, M., Hicks, T., Champod, C. 1 Apr 2017, In: AFTE Journal
  • Time since discharge of 9 mm cartridges by headspace analysis, part 1: comprehensive optimisation and validation of a headspace sorptive extraction (HSSE) method, Gallidabino, M., Romolo, F., Weyermann, C. Mar 2017, In: Forensic Science International

PGR Supervision

  • Blake Kesic Start: 01/10/2019
  • Aishath Ahmed Start: 01/10/2019

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