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Gwennaëlle Mabon, PhD, has a diverse work experience in machine learning, data science, and statistical research. Gwennaëlle is currently working as a Machine Learning Engineer at Sifflet since September 2022. Prior to that, they held the position of Lead Data Scientist at AntVoice from August 2020 to August 2022.

Gwennaëlle'searlier experience includes working as a Machine Learning Researcher at Shift Technology from January 2018 to August 2020, where they focused on claim automation in insurance, particularly motor and home insurance. In this role, they developed a chatbot for first notice of loss for home claims and was responsible for a specific client in home insurance.

Before that, Gwennaëlle worked as a Post-doctorate Researcher at Humboldt-Universität zu Berlin from September 2016 to September 2017. During their time there, they conducted research on non-parametric statistical tests and supervised undergraduate students in their statistical research projects.

Gwennaëlle also worked as a Doctoral Researcher at Ensae ParisTech from September 2013 to August 2016, where they conducted research in a contractual position. Additionally, they completed a research internship at MAP5, Université Paris Descartes, from February 2013 to July 2013, where they focused on adaptive estimation in deconvolution.

Gwennaëlle's earlier work experience includes internships in quantitative engineering at BNP Paribas, Group Risk Management, from July 2010 to July 2011, and in project management at Allianz, Direction des Operations Vie et Santé, in August 2009.

Overall, Gwennaëlle Mabon, PhD, has a strong background in machine learning, data science, and statistical research, with experience in various industries such as insurance, finance, and academia.

Gwennaëlle Mabon, PhD, began their education in 2008 at ENSAE Paris, where they completed their degree in Statisticien économiste with a focus on applied mathematics in 2012. Gwennaëlle then pursued further studies at Université Paris Cité, specializing in Modélisation et Statistiques pour la Biologie, and completed their M2 Recherche degree in 2013. Gwennaëlle continued their studies at Université Paris Cité, focusing on statistics, and obtained their Doctor of Philosophy (PhD) degree in Applied Mathematics in 2016.