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Fabio Boniolo, Ph.D.

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Politecnico di Milano, Milan, ItalyBSc2016Biomedical Engineering
Eidgenössische Technische Hochschule (ETH), Zurich, Switzerland2018Chemical Engineering
Politecnico di Milano, Milan, ItalyMSc2018Biomedical Engineering
Technical University of Munich, Munich, GermanyPhD2022Computational Oncology

Fabio is a computational scientist interested in the use of statistical and machine learning techniques to study and characterize complex diseases such as cancer. He received both his B.Sc. (2016) and M.Sc. (2018) in biomedical engineering from Politecnico di Milano (Italy). During his studies, he had various experiences in Industry and Academia and contributed to highly multidisciplinary and collaborative projects at the forefront of biomedical innovation. Fabio completed his doctoral studies at the Technical University of Munich, where he developed new methods and approaches for patient stratification in precision oncology. Sport enthusiast and involved in youth engagement activities, he was selected as Italian delegate to the G7 Youth Summit 2021, one of the official engagement groups of the G7, in the Digital and Technology track. Currently, he is a postdoctoral researcher in the Hovestadt Lab at the Dana-Farber Cancer Institute and at the Broad Institute of MIT and Harvard, where he uses single cell sequencing technologies to advance our understanding of childhood brain tumors.

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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.