Stefania Ebli
Machine Learning Scientist II at Expedia Group
Lausanne, Vaud, Switzerland
Summary
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Senior🎓
Top SchoolStefania Ebli is a Machine Learning Scientist II based in Lausanne with nine years of experience applying mathematical rigor to machine learning for structured data such as graphs and manifolds. With a PhD in Mathematics from EPFL and a research background building embedding algorithms and graph neural network architectures, she has translated theory into production-grade solutions at EPFL and Expedia Group to improve prediction on networked measurements. Her work spans dimensionality reduction, extensions of GNNs to higher-structured data, and leadership of data science pipelines, with a special interest in neuroscience and biological applications. Beyond research, she brings a practical, field-tested perspective—often inspired by real-world spatial phenomena like traffic and wind—and recharges tackling mountains on skis or a mountain bike.
9 years of coding experience
5 years of employment as a software developer
Master's degree, Mathematics, Master's degree, Mathematics at University of ViennaMaster's degree, Mathematics, Master's degree, Mathematics at Università degli Studi di PadovaBachelor's degree, Mathematics, Bachelor's degree, Mathematics at Università di TrentoDoctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at EPFL (École polytechnique fédérale de Lausanne)
Italian, English, FrenchGithub contributions (5)
stefaniaebli/simplicial_neural_networks
Oct 2020 - Dec 2020
Contributions:48 commits, 12 pushes, 5 comments in 1 month
stefaniaebli/paper-snn-neurips2020tda
Sep 2020 - Jan 2021
Contributions:79 commits in 3 months
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