Hélène Ruffieux
Assistant Research Professor at EPFL
Lausanne, Vaud, Switzerland
Summary
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Senior🎓
Top SchoolHélène Ruffieux is an applied statistician and assistant research professor at the University of Cambridge with 13 years of experience building large-scale statistical models for biomedical research. She progressed through research roles at Cambridge after completing a PhD at EPFL in collaboration with Nestlé, combining academic rigor with industry-facing problem solving. Her work spans biostatistics, data analysis, and teaching—she also lectures at EPFL—bridging methodological development and practical implementation in cohort and translational studies. Known for translating complex models into reproducible research workflows, she brings deep expertise in computational statistics and collaborative science across Swiss and UK institutes.
13 years of coding experience
3 years of employment as a software developer
Master's Thesis, Master's Thesis at Ecole Nationale des Ponts et ChausséesMaster of Science (MSc), Master of Science (MSc) at Ecole polytechnique fédérale de LausanneDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at EPFL (École polytechnique fédérale de Lausanne)
Github Skills (16)
hotspot10
biostatistics10
variable-selection10
r9
variational-inference8
r-package7
travis-ci6
computational-science4
continuous-testing4
continuous-integration4
parallel3
continuous-deployment3
petsc3
continuous-delivery3
parallel-computing2
Programming languages (2)
Github contributions (5)
hruffieux/locus
Jan 2017 - Sep 2021
locus R package - Large-scale variational inference for variable selection in sparse multiple-response regression
Contributions:248 commits, 121 pushes, 4 branches in 4 years 9 months
biostatisticsc-plus-plushigh-dimensional-datajoint-modelsr
hruffieux/shiny-pqtl
Oct 2018 - Jan 2022
Contributions:4 PRs, 27 pushes, 2 branches in 3 years 3 months
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