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CV
Professional experience
- 2021-Present: Institut Pasteur, Group Leader
- 2018-Present: Institut Pasteur and CNRS, Chargé de recherche de classe normal
- 2013-2018: University of Cambridge, Postdoc – Vendruscolo group
- 2014-2016: University of Washington, Consultant
- 2010-2013: University of California San Francisco, Postdoc – Sali group
Education
- June 2019: Sorbonne Université, HDR (thesis available here)
- 2006-2010: ETH Zurich, Ph.D. – Parrinello Group
- 1998-2004: Universitá degli Studi di Milano – M.Sc. in Theoretical Physics
Full CV available here (updated May 2021)
ORCID ID: 0000-0002-7321-0004
Publications
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2022Determination of the structure and dynamics of the fuzzy coat of an amyloid fibril of IAPP using cryo-electron microscopy, bioRxiv 2022 10.1101/2022.05.29.493873.
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2022HARIBOSS: a curated database of RNA-small molecules structures to aid rational drug design, bioRxiv (2022) 10.1101/2022.05.17.492306.
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2022Describing Inhibitor Specificity for the Amino Acid Transporter LAT1 from Metainference Simulations, bioRxiv (2022) 10.1101/2022.05.03.490502.
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2022Artificial Intelligence: Exploring the conformational diversity of proteins, eLife 2022;11:e78549.
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2022Bat coronaviruses related to SARS-CoV-2 and infectious for human cells., Nature 2022 604, 330–336.
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2021Rational design of ASCT2 inhibitors using an integrated experimental-computational approach, Proc. Natl. Acad. Sci. USA 118 (2021) e21040931188.
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2021Multi-replica biased sampling for photoisomerization processes in conjugated polymers, J. Chem. Phys. 154, 174108 (2021).
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2020Small molecule sequestration of amyloid-β as a drug discovery strategy for Alzheimer’s disease, Sci. Adv. 6, eabb5924 (2020).
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2020What will computational modelling approaches have to say in the era of atomistic cryo-EM data?, J. Chem. Inf. Model. 2020, 60, 5, 2410–2412.
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2019Promoting transparency and reproducibility in enhanced molecular simulations, Nature Methods 16, 670–673 (2019).
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