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Federico Bocci develops computational methods to uncover molecular mechanisms underlying cell behavior, development, and disease. He places great emphasis on the integration of mathematical and biophysical modeling with machine and deep learning techniques, along with high-throughput single-cell sequencing technologies. His research interests include the modeling of complex biological systems and the application of data-driven approaches to extract biological insights from large datasets.
Applies to Research Master's in Linguistics and Communication Sciences (Centre for Language Studies/Department of Language and Communication).