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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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Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
  1. Boniolo F, Boniolo G, Valente G. Prediction via Similarity: Biomedical Big Data and the Case of Cancer Models. Philosophy & Technology. 2023; (36). View Publication.
  2. Orben F, Lankes K, Schneeweis C, Hassan Z, Jakubowsky H, Krauß L, Boniolo F, Schneider C, Schäfer A, Murr J, Schlag C, Kong B, Öllinger R, Wang C, Beyer G, Mahajan UM, Xue Y, Mayerle J, Schmid RM, Kuster B, Rad R, Braun CJ, Wirth M, Reichert M, Saur D, Schneider G. Epigenetic drug screening defines a PRMT5 inhibitor-sensitive pancreatic cancer subtype. JCI Insight. 2022 05 23; 7(10). PMID: 35439169; PMCID: PMC9220834.
    Citations: 2     Fields:    Translation:HumansAnimalsCells
  3. Falcomatà C, Bärthel S, Widholz SA, Schneeweis C, Montero JJ, Toska A, Mir J, Kaltenbacher T, Heetmeyer J, Swietlik JJ, Cheng JY, Teodorescu B, Reichert O, Schmitt C, Grabichler K, Coluccio A, Boniolo F, Veltkamp C, Zukowska M, Vargas AA, Paik WH, Jesinghaus M, Steiger K, Maresch R, Öllinger R, Ammon T, Baranov O, Robles MS, Rechenberger J, Kuster B, Meissner F, Reichert M, Flossdorf M, Rad R, Schmidt-Supprian M, Schneider G, Saur D. Selective multi-kinase inhibition sensitizes mesenchymal pancreatic cancer to immune checkpoint blockade by remodeling the tumor microenvironment. Nat Cancer. 2022 03; 3(3):318-336. PMID: 35122074; PMCID: PMC7612546.
    Citations: 9     Translation:Humans
  4. Falcomatà C, Bärthel S, Ulrich A, Diersch S, Veltkamp C, Rad L, Boniolo F, Solar M, Steiger K, Seidler B, Zukowska M, Madej J, Wang M, Öllinger R, Maresch R, Barenboim M, Eser S, Tschurtschenthaler M, Mehrabi A, Roessler S, Goeppert B, Kind A, Schnieke A, Robles MS, Bradley A, Schmid RM, Schmidt-Supprian M, Reichert M, Weichert W, Sansom OJ, Morton JP, Rad R, Schneider G, Saur D. Genetic Screens Identify a Context-Specific PI3K/p27Kip1 Node Driving Extrahepatic Biliary Cancer. Cancer Discov. 2021 12 01; 11(12):3158-3177. PMID: 34282029; PMCID: PMC7612573.
    Citations: 1     Fields:    Translation:HumansAnimals
  5. Boniolo F, Dorigatti E, Ohnmacht AJ, Saur D, Schubert B, Menden MP. Artificial intelligence in early drug discovery enabling precision medicine. Expert Opin Drug Discov. 2021 09; 16(9):991-1007. PMID: 34075855.
    Citations: 4     Fields:    Translation:Humans
  6. Zhu H, Blahnová VH, Perale G, Xiao J, Betge F, Boniolo F, Filová E, Lyngstadaas SP, Haugen HJ. Xeno-Hybrid Bone Graft Releasing Biomimetic Proteins Promotes Osteogenic Differentiation of hMSCs. Front Cell Dev Biol. 2020; 8:619111. PMID: 33415112; PMCID: PMC7784409.
    Citations: 2     
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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.