Short bio
I founded Viking Conseil to build adaptive forecasting models that are able to adapt to an increasingly unstable world.
I graduated in 2019 from the École Normale Supérieure and got a Master Degree from the École Normale Supérieure Paris-Saclay in mathematics and machine learning (MVA).
From 2019 to 2022 I was a PhD Student in Statistics under a CIFRE contract. I am jointly working at the LPSM, Sorbonne Université under the supervision of Olivier Wintenberger and at EDF R&D under the supervision of Yannig Goude and Thi Thu Huong Hoang. I defended on June 22, 2022.
My PhD manuscript is available here, and my defense slides here.
I received the male thesis prize of Think Smartgrids, as well as the Marie-Jeanne Laurent-Duhamel thesis prize of the Société Française de Statistiques.
I am now extending my Phd work in Viking Conseil.
Research
I am mainly interested in time series forecasting. I consider adaptive methods that are able to learn regime changes in the time series, focusing in particular on state-space representations. During my PhD the industrial application at EDF was electricity load forecasting.
Publications
Preprints
Competitions
Communications
- May 27-31, 2024. Journées de Statistiques (Bordeaux, France).
- September 11-14, 2023. WPI-Workshop: Stochastics, Statistics, Machine Learning and their Applications to Sustainable Finance and Energy Markets (Vienna, Austria).
- January 16, 2023. Machine Learning Meetup (Nantes, France).
- September 27-28, 2022. International Ruhr Energy Conference (Essen, Germany).
- August 30, 2022. Journées MAS.
- June 22 2022. PhD Defense, Jussieu, Paris.
- June 13 2022. Journées de Statistiques, Lyon.
- April 5 2022. Rencontre des Jeunes Statisticiens, Porquerolles.
- January 20 2022. Séminaire Images Optimisation et Probabilités at Bordeaux.
- January 13 2022. Séminaire DATA at the Laboratoire Jean Kuntzmann, Grenoble.
- December 1 2021. PGMO days.
- October 4 2021. Assessment of ensemble forecasts. See the slides.
- July 27 2021. Panel session Performance evaluation of artificial intelligence methods for energy consumption forecasting using open data sets at the IEEE Power & Energy Society General Meeting. See the slides.
- July 24 2021. Poster presentation at the time-series workshop of ICML. See the article, poster and short video.
- June 7 2021. Oral presentation at the Journées de Statistiques. See the slides.
- September 15 2020. Oral presentation at New Results on Time Series and their Statistical Applications, Marseille, France.