1. Mathias Valla. Temporal dynamics in tree-based models and applications to lapse behaviour in life insur-
   ance,Utilisation de la data pour la modélisation et la transformation des comportements en assurance, Galea
   and associates Data Lab, Feb 2024, Paris, France
   
2. Mathias Valla. Longitudinal analysis: contributions in life insurance and applications, Chaire DIALog’s tech-
   nical seminar, Nov 2023, Paris, France. [Vidéo]
   
3. Mathias Valla. Ma thèse en 180 secondes (3 minutes thesis), MT180s regional finals, Mar 2023, Lyon, France.
   -> Jury’s second pize [Vidéo]
   
4. Mathias Valla and Pierrick Piette. Améliorer un modèle de Machine Learning par la personnalisation : fonc-
   tion de perte et enrichissement par les données.100% Actuaires 100% Data Science, Institut des actuaires,
   Nov 2022, Paris, France. [Slides]
   
5. Mathias Valla. Tree-based models, longitudinal covariates and customer behaviour predictions, Chaire DI-
   ALog’s technical seminar, Nov 2022, Paris, France.
   
6. Mathias Valla. Including Customer Lifetime Value in tree-based lapse management strategy. MLISTRAL, Sep
   2022, Marseille, France. [Slides]
   
7. Mathias Valla. Longitudinal trees: an overview of tree-based models for longitudinal analysis with time-
   varying covariates2022 EDEG Workshop, Apr 2022, Lyon, France.
   
8. Mathias Valla. Towards tree-based time-to-event models with longitudinal data, Literature review and ap-
   plications to churn analysis, Chaire DIALog’s technical seminar, Nov 2021, Paris, France.
   
9. Mathias Valla. Machine Learning,6e Saga de l’actuariat du groupe APRIL, Fev 2018, Lyon, France. [Slides]