Her research mainly involves the following topics:
- Machine-learning and deep-learning methodologies for intra-operative tissue classification
- Learning-based medical-record analysis
Elementi di Informatica (Ingegneria Biomedica)
Sara Moccia (B.Sc. 2012, M.Sc. 2014, Ph.D. 2018) was born in Bari on September 1990. She graduated cum laude in Biomedical Engineering at Politecnico di Milano (Milan, Italy) in December 2014, with a thesis entitled: "Statistical-segmentation techniques of liver metastases and necroses in FGD-PET for the automatic evaluation of pre and post thermoablation PET/CT studies".
In May 2018, she obtained the European PhD cum laude in Bioengineering from Istituto Italiano di Tecnologia (Genoa, Italy) and Politecnico di Milano with a thesis entitled "Supervised tissue classification in optical images: Towards new applications of surgical data science". During her PhD, she was hosted at the Computer-Assisted Medical Interventions laboratory at the German Cancer Research Center (Heidelberg, Germany).
From May 2018 to January 2021, Sara was Postdoc at Università Politecnica delle Marche (Ancona, Italy) and Affiliated Researcher at Istituto Italiano di Tecnologia.
Sara is currently Assistant Professor at the Sant'Anna School of Advanced Studies and Affiliated Researcher at Unviersità Politecnica delle Marche.
- Google Scholar: https://scholar.google.it/citations?user=Nc4WOQ4AAAAJ&hl=en&oi=ao
- ResearchGate: https://www.researchgate.net/profile/Sara_Moccia
- Linkedin: https://www.linkedin.com/in/sara-moccia-b8294796/
