Sara Moccia

Post-Doctoral Researcher
Research Areas: 

Her research mainly involves the following topics:

  • Machine-learning and deep-learning methodologies for intra-operative tissue classification
  • Learning-based medical-record analysis

Fondamenti di Informatica M-Z (Ingegneria Gestionale)

Capsule Bio: 

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).

Sara is currently Postdoc at Università Politecnica delle Marche (Ancona, Italy) and Research Fellow at Istituto Italiano di Tecnologia.

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