Magali Champion
Research Fellow, DM3L, University of Zurich | On leave from Université Paris Cité
Office Y27J16
Department of Mathematical Modeling and Machine Learning (DM3L)
University of Zurich
Winterthurerstrasse 190
CH-8057 Zurich, Switzerland
I am a Research Fellow in the Department of Mathematical Modeling and Machine Learning (DM3L) at the University of Zurich (UZH), working within Prof. Dr. Reinhard Furrer’s research group. I am currently on institutional leave from my position as an Assistant Professor in Statistics at IUT Paris-Rives de Seine, Université Paris Cité.
At UZH, I work closely on the ABN (Additive Bayesian Networks) project. I am also actively involved in academic development, assisting in the design and implementation of the new Bachelor of Science in Applied Mathematics and Machine Learning (AMML) as well as the upcoming Master’s program.
Broadly, my research focus lies in statistical machine learning for high-dimensional structures, graphical models and network inference, multi-omics data integration, and collaborative computational frameworks alongside clinical experts.
Previously, I spent a year as a Postdoctoral Researcher at the Stanford Center for Biomedical Informatics Research (BMIR). I completed my PhD in Applied Mathematics in December 2014 from Université Toulouse III under the supervision of Sébastien Gadat, Christine Cierco-Ayrolles and Matthieu Vignes.
For more info about me, please check my CV (last update 10/2023).
Responsabilities
- Associate editor of the International Journal of Biostatistics
Research interests
- Statistical learning
- high-dimensional data
- graphical models
- penalized linear regressions
- sparse methods
- clustering
- statistical modeling
- Computational biology
- gene regulatory network inference
- multi-omics data integration
- applications to clinical and medical research
News
| Apr 29, 2026 | A new version of the l1 spectral-clustering paper is available online. đź“° |
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| Feb 23, 2026 | I am happy to share that I am officially back to work after a short, busy diaper-break. 🍼✨ |
| Nov 14, 2025 | Our new article, “All for One or One for All? A Comparative Study of Grouped Data in Mixed-Effects Additive Bayesian Networks”, has been published in Mathematics as part of the Special Issue Bayesian Networks: Parameter and Structure Learning with Their Real-World Applications for Decision Making. 📊 |
Selected publications
- MathematicsAll for One or One for All? A Comparative Study of Grouped Data in Mixed-Effects Additive Bayesian NetworksMathematics 2025