Raphaël de Fondeville
raphael.de-fondeville@epfl.ch 41 21 693 55 24 https://github.com/r-fndv
EPFL SDSC
INN 218 (Bâtiment INN)
Station 14
CH-1015 Lausanne
41 21 693 55 24
Office: INN 218
EPFL
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VPA
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VPA-AVP-CP
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SDSC
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SDSC-GE
Web site: Web site: https://www.datascience.ch
Research interests
Stochastic Processes, Computational Statistics, Environmental Statistics, Proper
Scoring Rules.
Conferences
Invited speaker, 52e Journée de Statistique, Nice, France, June 2021.
Contributed speaker, Spatial Data Science, Lausanne, Suisse, June 2021.
Invited Seminar, Séminaire de statistiques à l’UQAM (Distanciel), Montreal, Canada, February 2021.
Invited speaker, Journée RESSTE (Distanciel), Paris, France, November 2020.
Contributed speaker, Climate Informatics 2020, Oxford, United-Kingdom, September 2020.
Invited speaker, VALPRED 2, Aussois, France, March 2020 .
Invited speaker, Workshop on "Interfaces in extreme value theory", Lancaster, United-Kingdom, September 2019
Invited speaker, 11th Extreme Value Analysis Conference, Zagreb, Croatia, July 2019.
Invited workshop, 11th Extreme Value Analysis Conference, Zagreb, Croatia, July 2019.
Contributed speaker, Climate Extremes: New Ideas for Quantifying Changes and Improving Resilience, Riederlap, Switzerland, March 2019.
Invited speaker, 11th ERCIM Conference, Pisa, Italy, December 2018.
Invited seminar, Colloquium in Climatology, Climate Impact and Remote Sensing, Bern, Switzerland, Novembre 2018.
Invited speaker, Journées MAS, Dijon, France, August 2018.
Invited speaker, 10th ERCIM Conference, London, England, December 2017.
Invited seminar, BIRS workshop on Inferential Challenges for Large Spatio-Temporal Data Structures, Banff, Canada, December 2017.
Invited seminar, Centre de géosciences, Mines Paristech, Fontainebleau, France, September 2017
Invited talk, 10th Extreme Value Analysis Conference, Delft, Netherlands, June 2017.
Contributed talk, Workshop on Risk Quantification and Extreme Values in Applications, Lausanne, Switzerland, February 2017.
Contributed talk, 13th International Meeting on Statistical Climatology, Canmore, Canada, June 2016.
Posters
Applied Machine Learning Days, Lausanne, Switzerland, January 2019.
Swiss Statistics Seminars, Bern, Switzerland, Novembre 2018.
Data, Models and Statistical Inference, Lausanne, Switzerland, September 2018.
2nd Data Science Summer School (DS3), Palaiseau, France, June 2018.
9th international conference on Extreme Value Analysis, Ann Arbor, USA, June 2015.
Teaching - Assistantships
- Data Challenge, semester project.
- Probabilities and statistics, bachelor course for SV by Pr. D. Goldstein.
2017/2018
- Probabilities and statistics, bachelor course for SV by Pr. D. Goldstein.
2016/2017
- Advanced regression, master course by Pr. A. C. Davison.
- Analysis and Linear algebra, bachelor course by Dr. A.-L. Bronstein.
2015/2016
- Probabilities and statistics, bachelor course for GC by Dr. N. Fournier.
- Probabilities and statistics, bachelor course for SV by Dr. S. Hosseinian.
2014/2015
- Analysis I, bachelor course for MT and MX by Dr. P. Chabloz.
- Analysis II, bachelor course for MT and MX by Dr. P. Chabloz.
Education
PhD
Statistics
EPFL
2014-2018
Msc
Science and Executive Engineering, Geostatistics and Applied Probabilities
MINES Paristech
2010-2014
Prep. school
Mathematics and Physics (MPSI - PSI*)
Ecole Sainte Genevieve - Versailles
2008-2010
Publications
Other publications
Papers
Ardreriu, A. and de Fondeville, R. (2021). Influence of Vaporfly shoe on sub-2 hour marathon and other top running performances. arXiv:2104.08509.
de Fondeville, R. and Davison, A.C. (2021). Functional peaks-over-threshold analysis. arXiv:2002.02711.
Taillardat, M., Fougères, A-L.,Naveau P. and de Fondeville, R. (2020). Extreme events evaluation using CRPS distributions. arXiv:1905.04022
Engleke, S., de Fondeville, R. and Oesting, M. (2019). Extremal behaviour of aggregated data with an application to downscaling. Biometrika 106(1).
de Fondeville, R. and Davison, A. C. (2018). High-dimensional peaks-over-threshold inference. Biometrika 105(3).