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 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 thermo ablation PET/CT studies".
She obtained the European PhD cum laude in Bioengineering from Istituto Italiano di Tecnologia (Genoa, Italy) and Politecnico di Milano (Milano, Italy) 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 DKFZ in Heidelberg (Germany).
Sara is currently a Postdoc at Università Politecnica delle Marche (Ancona, Italy) and Affiliated Researcher at Istituto Italiano di Tecnologia (Genoa, Italy).
Her research is mainly focused on intra-operative optical-image analysis, exploiting machine-learning and deep-learning methodologies to provide robust and reliable tissue classification.