ablack

Sara Mazzucato

PhD Student

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Background

Sara holds an MSc in Neural Engineering (2022) from the Scuola Superiore Sant'Anna, Italy, and a BSc in Biomedical Engineering (2020) from the University of Padua, Italy. During her studies, she undertook academic exchanges at ISEN in France and conducted visiting research at Lund University (Sweden) and the University of Cambridge (UK). Her MSc thesis, completed at EPFL (Swiss), focused on the ex vivo characterization of ultrasound neuromodulation in spinal dorsal roots using a microfabricated nerve-on-a-chip platform. A key aspect of her work was developing an automated data processing framework to enable more comprehensive analysis.
 
In 2022, Sara began her Ph.D. at Scuola Superiore Sant'Anna, focusing on artificial intelligence in healthcare and bioinformatics methods for genetic data. In 2023, she was a visiting PhD student at Fermilab, USA, contributing to the optimization of computational resources for medical applications. She is currently collaborating with the Biosemantics group at Erasmus MC, where she focuses on clinical natural language processing and the incorporation of information from clinical text data in patient-level prediction models.
 
Teaching

Sara has served as a tutor for the Mathematical Calculus course at the University of Pisa, supporting students in Electronic and Telecommunication Engineering in the Department of Mathematics (2021-2022).
 
Publications
  1. Mazzucato S, et al. "Classification of patients with cardiac amyloidosis using machine learning models on Italian electronic clinical health records." IEEE Eng Med Biol Soc, 2023. Available at: https://pubmed.ncbi.nlm.nih.gov/38083260/. Click or tap if you trust this link." data-auth="Verified" data-linkindex="0" data-ogsc="">https://pubmed.ncbi.nlm.nih.gov/38083260/
  2. Mazzucato S, et al. "Artificial Intelligence-based systems development for the social and health protection network." Ital-IA 2023. Available at: https://www.ital-ia2023.it/workshop/ai-per-la-medicina-e-la-salute. Click or tap if you trust this link." data-auth="Verified" data-linkindex="1" data-ogsc="">https://www.ital-ia2023.it/workshop/ai-per-la-medicina-e-la-salute
  3. Torri V, Mazzucato S, et al. "Structuring Clinical Notes of Italian ST-elevation Myocardial Infarction Patients." CL4Health 2024. Available at: https://aclanthology.org/2024.cl4health-1.5.pdf. Click or tap if you trust this link." data-auth="Verified" data-linkindex="2" data-ogsc="">https://aclanthology.org/2024.cl4health-1.5.pdf
Conference Presentations
  • IEEE Engineering in Medicine and Biology Society (EMBC) 2023, Sydney
  • Deep Learning for Medical Imaging, 2023, Lyon
  • LREC-COLING 2024, Italy
Awards
  • Vincenzo Tagliasco Prize for Master Thesis, University of Genoa (2023)
  • Winner, "Reveal the Invisible" Computer Vision Hackathon, Karlsruhe Institute of Technology (2023)
  • Winner, "SOSpiro per te" Hackathon for COPD and asthma patients’ needs, H-Farm and Chiesi (2022)
  • Winner, Copernicus Hackathon at DIH Vicenza (2020)