معرفی
Elena Grassi serves as a Research Fellow at the Department of Oncology, University of Turin, actively contributing to research and teaching missions within the institution. Her work bridges computational methodologies with biomedical applications, focusing specifically on oncology contexts.
Her research spans Artificial Intelligence for Biomedicine and Healthcare, Biotechnology for Neuroscience, and Multi-omics approaches to Precision Medicine. Dr. Grassi specializes in applying data science techniques to genomics, transcriptomics, and phenotypic screenings, with particular emphasis on cancer as a model system for population dynamics. Her interdisciplinary approach integrates systems biomedicine with epidemiological perspectives.
Dr. Grassi serves on the Department Council of the Department of Oncology, contributing to academic governance and strategic planning. She teaches multiple specialized courses including Data Science (NEU0264), Multi-omics and Data Science for Precision Medicine (ONC0260), and various modules under Artificial Intelligence for Biomedicine and Healthcare (ONC0260A, ONC0260C, ONC0262B). She is also affiliated with the Scuola di Studi Superiori 'Ferdinando Rossi' (SSST), the university's advanced studies school.
