Fabrizio Benedetti
Bioinformatician
Chavannes-près-Renens, Vaud, Switzerland
Summary
👤
Senior🎓
Top SchoolFabrizio Benedetti is a bioinformatician with 11 years of experience applying machine learning, statistical modeling, and reproducible Python/R pipelines to high-dimensional biomedical data. Based at CHUV in Lausanne, he specializes in extracting actionable insight from cytometry, CyTOF and biopsy imaging to understand tumor-immune interactions and treatment response. His background in molecular biophysics and molecular dynamics (PhD EPFL) gives him uncommon fluency in both experimental design and large-scale simulation data analysis, with prior roles at SIB and academia. He collaborates closely with clinicians and biologists to translate noisy, complex datasets into publications and clinical-relevant findings (H-index 23). Comfortable coding in R, Python and C++, he builds robust analysis workflows and visualizations that support multidisciplinary teams. Open to roles in healthcare, biotech and research where advanced analytics and ML accelerate discovery.
11 years of coding experience
6 years of employment as a software developer
University of BolognaDoctor of Philosophy (PhD), Molecular Biophysics, Doctor of Philosophy (PhD), Molecular Biophysics at Ecole polytechnique fédérale de Lausanne
English, Italian, French, Greek
Github Skills (63)
proton10
steamworks10
compatibility10
wine10
steam10
development-environment8
rstudio7
ide7
cytoscapejs7
meta-analysis7
tensorflow7
deep-learning7
interpretation7
pipeline5
cellprofiler5
Programming languages (7)
Github contributions (5)
fbenedett/polymer-libraries
Aug 2014 - May 2016
Contributions:26 commits, 13 pushes in 1 year 9 months
fbenedett/Tcr_sequences
Jan 2020 - Feb 2022
Contributions:10 pushes, 2 branches in 2 years 1 month
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