Sarah is currently working as a research engineer within the S2A team under the supervision of Florence d’Alché-Buc. Her research interests are mainly in Sequence Modeling and Representation Learning for time-varying graph-structured data, with a focus on economic applications. Sarah holds a Master’s degree in Statistics and Econometrics from Toulouse School of Economics (TSE) and an Advanced Master’s in Data Science from ENSAE Paris.

Keywords : Graph-structured data, Machine Learning, Representation learning, Structured sequence prediction, Time Series.