Raphaël de Fondeville
raphael.de-fondeville@epfl.ch +41 21 693 55 24 https://github.com/r-fndv
EPFL ENT-R SDSC SDSC-GE
MA A1 413 (Bâtiment MA)
Station 8
CH-1015 Lausanne
Research interests
Extreme Value Theory, Spatio-Temporal Statistics, Dependence Modeling for
Stochastic Processes, Computational Statistics, Environmental Statistics, Proper
Scoring Rules.
Conferences
Oral presentations
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
2018/2019
- 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 |
Other publications
Papers
de Fondeville, R. and Davison, A.C. (2019). Functional peaks-over-threshold analysis and generalized r-Pareto process. Preprint.Taillardat, M., Fougères, A-L.,Naveau P. and de Fondeville, R. (2019). 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).