I graduated Cum Laude in Veterinary Medicine from the University of Bologna (Italy) in 2014. I completed one year of rotating internship at Istituto Veterinario di Novara (Italy). In February 2016, I joined the internship program at Fitzpatrick Referrals (UK). During this internship I also visited Davis University in California and I worked on clinical research projects. I worked in first opinion practice in the UK for one year while studying to obtain the certificate in Advanced Veterinary Practice. I have a particular interest in Surgical Oncology and Oncology. In January 2018, I began my current role as a PhD student at the University of Surrey School of Veterinary Medicine in collaboration with Fitzpatrick Referrals Oncology and Soft Tissue, CVSSP and Zoetis. As part of my PhD, I spent a period of time at Colorado State University and the University of Florida. I also teach undergraduate veterinary students in a clinical settings.
The working title of my PhD project is: “Machine learning in digital pathology to improve cancer diagnosis in humans and animals”. In this research, different deep convolutional neural networks (CNNs) frameworks were compared, with the objective of automatically detecting, localising, and grading canine tumour samples. This research has the great potential for developing computerized image analysis algorithms for improving diagnostic, prognostic, and the diagnostic accuracy of tumour from high-resolution digitised histopathology images. The aim being to aid veterinary pathologists, oncologists and surgeons to make better clinical decisions with regard to the diagnosis and management of the tumours, and consequently improving patient care and outcomes.
Demonstrator for the Surgery Clinical Skills practical classes at the Vet School across different modules and at different undergraduate levels:
- Fundamentals of Veterinary Practice III – Anaesthesia, Surgery and Patient Care;
- Fundamentals of Veterinary Practice One: Introduction to Pharmacology, Anaesthesiology, Imaging and Surgery;
- Clinical Module 1 – Companion Animal