May 2025: Paper 'Time series representations with hard-coded invariances' accepted to ICML; April 2025: Survey paper 'Time Series Motif Discovery: A Comprehensive Evaluation' accepted to VLDB; September 2024: Paper 'Shape analysis for time series' accepted to NeurIPS.
Research Experience
Since March 2025, postdoctoral researcher at CMAP, Polytechnique, France, working with Karim Lounici and Rémi Flamary on domain adaptation for stochastic dynamical systems; July 2024, visiting researcher at Sapiro Lab, Duke University, working on facial emotions recognition and analysis for therapeutic evaluation of eating disorders.
Education
PhD student until 2024 at Centre Borelli, a research lab from ENS Paris-Saclay, supervised by Charles Truong and Laurent Oudre.
Background
Research interests lie at the intersection of machine learning, geometry, and dynamical systems. Specifically, focuses on developing machine learning methods tailored to dynamical systems and time series, with an emphasis on interpretability, comparison, and transport of dynamic behaviors.