Talks

Presentations and Posters

• September 2025: Oral presentation of the paper "Numerical Efficient Parametric Inference for Learning Space-Time Hawkes Processes" at the 12th IEEE International Conference on Data Science and Advanced Analytics (DSAA), Birmingham

• September 2025: Oral presentation of the research project "Aggregating the tail distributions in multi-model ensemble outputs for bias correction" at the GRASPA Conference on Environmental Statistics, Rome

• September 2025: Poster presentation of the research project "Aggregating the tail distributions in multi-model ensemble outputs for bias correction" at the RISE Workshop, Venice

• May 2025: Oral presentation of the research project "Aggregating the tail distributions in multi-model ensemble outputs for bias correction" at the 3rd Workshop on "Bias Correction in Climate Studies", Paris.

• August 2024: Oral presentation of the paper Flexible Parametric Inference for Space-Time Hawkes Processes at the International Conference on Computational Statistics (COMPSTAT 2024), Giessen.

• August 2022: Oral presentation of the paper A Statistical Learning View of Simple Kriging at the International Conference on Computational Statistics (COMPSTAT 2022), Bologna.

• July 2022: Poster presentation of the paper A Statistical Learning View of Simple Kriging at the French conference on Machine Learning (CAp 2022), Vannes.

Communications in seminars

• June 2025: Presentation "Statistical Learning for Spatial and Climate Data: Hawkes Process and Extreme Value" at the Hawkes Seminar of the LPSM team, Sorbonne Université, Paris.

• April 2025: Presentation "Statistical Learning for Spatial Data: Theory and Practice" at the LAMA team Seminar, Université Gustave Eiffel, Marne-la-Vallée.

• March 2023: Oral presentation of the paper A Statistical Learning View of Simple Kriging at the MIND team Seminar, Inria, Palaiseau.

• June 2022: Organisation of the Chaire DSAIDIS day, with Binh Nguyen (Post-Doc at Télécom Paris) and Florence d’Alché-Buc (Chair Holder, Télécom Paris). Oral presentation of the paper A Statistical Learning View of Simple Kriging.

• September 2021: PhD research project presentation: "Statistical Learning for Spatial Data: Theory and Practice", Journées des Géostatistiques, Mines ParisTech, Fontainebleau.

• September 2020: Oral presentation of the paper A stochastic Gauss–Newton algorithm for regularized semi-discrete optimal transport, Automnales 2020, Mines ParisTech, Fontainebleau.