Department: Pathobiology and Population Sciences

Campus: Hawkshead

Matteo graduated with a degree in Animal Production at the Veterinary faculty of the University of Milan, in 2012.

In 2014 he undertook the post graduate certificate in Risk Analysis in Health and Food Safety at the Royal Veterinary College and completed the PhD in Italy in December 2015. His PhD was partially founded by the CARIPLO foundation and was mainly focused on the use of probabilistic models as a tool for the animal-derived food safety management.

In January 2016, he joined the Veterinary Epidemiology and Public health group of the Royal Veterinary College as postdoctoral researcher where he is currently involved on various national and international projects mainly focused on the assessment of the risk for human health posed by hazards in food products of animal origin.

Matteo's main research interest lies in the development and use of quantitative probabilistic models to reproduce and explore the dynamics underlying the biological systems of food safety interest.


Crotta, M., Lavazza, A., Mateus, A., & Guitian, J. (2018). Quantitative risk assessment of hepatitis E virus: Modelling the occurrence of viraemic pigs and the presence of the virus in organs of food safety interest. Microbial Risk Analysis. 9, 64-71

Prakashbabu, B. C., Marshall, L. R., Crotta, M., Gilbert, W., Johnson, J. C., Alban, L., & Guitian, J. (2018). Risk-based inspection as a cost-effective strategy to reduce human exposure to cysticerci of Taenia saginata in low-prevalence settings. Parasites & vectors, 11(1), 257.

Gilbert, T., Doolan, NTF, M., Beka, S., Spencer, N., Crotta, M., & Davari, S. (2018). Compassion on university degree programmes at a UK university: The neuroscience of effective group work. Journal of Research in Innovative Teaching & Learning. 11(1), 4-21

Hill, A. A., Crotta, M., Wall, B., Good, L., O'Brien, S. J., & Guitian, J. (2017). Towards an integrated food safety surveillance system: a simulation study to explore the potential of combining genomic and epidemiological metadata. Royal Society Open Science, 4(3), 160721.

Crotta, M., Limon, G., Blake, D. P., & Guitian, J. (2017). Knowledge gaps in host-parasite interaction preclude accurate assessment of meat-borne exposure to Toxoplasma gondii. International journal of food microbiology, 261, 95-101.

Gandini, G., Turri, F., Rizzi, R., Crotta, M., Minozzi, G., & Pizzi, F. (2017). Economic evaluation of genetic improvement in local breeds: the case of the Verzaschese goat. Italian Journal of Animal Science, 1-12.

Crotta, M., Georgiev, M., & Guitian, J. (2017). Quantitative risk assessment of Campylobacter in broiler chickens–Assessing interventions to reduce the level of contamination at the end of the rearing period. Food Control, 75, 29-39.

Crotta, M., Ferrari, N., & Guitian, J. (2016). Qualitative risk assessment of introduction of anisakid larvae in Atlantic salmon (Salmo salar) farms and commercialization of products infected with viable nematodes. Food Control, 69, 275-284.

Crotta, M., Rizzi, R., Varisco, G., Daminelli, P., Cunico, E. C., Luini, M., ... & Guitian, J. (2016). Multiple-Strain Approach and Probabilistic Modeling of Consumer Habits in Quantitative Microbial Risk Assessment: A Quantitative Assessment of Exposure to Staphylococcal Enterotoxin A in Raw Milk. Journal of Food Protection®, 79(3), 432-441.

Crotta, M., Paterlini, F., Rizzi, R., & Guitian, J. (2016). Consumers’ behavior in quantitative microbial risk assessment for pathogens in raw milk: Incorporation of the likelihood of consumption as a function of storage time and temperature. Journal of dairy science, 99(2), 1029-1038.


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