Andrea Degasperi
Research Associate
Cambridge, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolAndrea Degasperi is a research scientist and computational biologist based in Cambridge with a decade of experience applying mathematical modelling and data integration to cancer signalling and phenotypic drug screening. Currently a Research Associate at the University of Cambridge, he previously held postdoctoral roles at the Wellcome Trust Sanger Institute and Systems Biology Ireland and completed industry-focused work with AstraZeneca on integrating heterogeneous cell-profile data for target deconvolution. His background combines a PhD in Computational Biology with hands-on interdisciplinary projects that translate complex signalling models into predictive tools for drug discovery. Colleagues describe him as someone who bridges theory and practice—equally at home developing computational models and collaborating with experimental teams to validate them. An understated strength is his sustained focus on data fusion across diverse cellular assays, which improves robustness of predictive models in phenotypic screens.
10 years of coding experience
5 years of employment as a software developer
Master of Science (MSc), Computational Biology, Master of Science (MSc), Computational Biology at The University of EdinburghDoctor of Philosophy (PhD), Computational Biology, Doctor of Philosophy (PhD), Computational Biology at The University of Glasgow
English, Italian, Spanish
Github Skills (15)
r-package10
signature10
period4
sbml4
artifacts4
red3
simulation3
simulator3
artifact3
modeling2
sequence2
dependabot2
high-performance1
ansi1
r1
Programming languages (3)
Github contributions (5)
Nik-Zainal-Group/signature.tools.lib
Jul 2018 - Jan 2023
R package containing useful functions for mutational signature analysis
Contributions:315 commits, 4 PRs, 42 pushes in 4 years 7 months
r-packagesignaturesignature-analysis
Nik-Zainal-Group/DegasperiEtAl-NatureCancer2020-SupplCode
Jan 2020 - Jan 2020
Contributions:2 commits, 1 push, 1 branch in 1 day
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