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Louise M. has a range of work experience in various roles. In 2018, they worked as an Employé Méthode at Schneider Electric for a month. In 2020, they had a brief observation internship at CHU Grenoble Alpes. From 2020 to 2022, Louise worked at Appen where they performed various tasks. In 2021, they worked as a Data Scientist at Université Carlos III, focusing on predicting the performance score of cancer patients using digital phenotype data collected through a mobile application. At WITSEE, Louise held multiple positions, starting in 2022 as an Intelligent Assistant for manual annotation on massive histological data. Louise'srole involved assisting in diagnosis by using Machine Learning algorithms for automatic classification and generating models for deep learning. In 2023, Louise continued their work as a Data Scientist within the WITSEE scientific team. Louise'sresponsibilities included contributing to scientific research and platform development, specifically focusing on image processing and analysis solutions.

Louise M. completed their Baccalauréat scientifique at lycée Marie Curie Echirolles from 2014 to 2017. Louise then pursued their education at Polytech Grenoble, where they studied Mathématiques et informatique for two years from 2017 to 2019 as part of the Parcours des écoles d'ingénieurs program. Louise M. went on to earn their Diplôme d'ingénieur in technologie de l'information pour la santé from Polytech Grenoble, completing their studies in 2022.