Céline
Béji,
Post-doctoral researcher at CRESS, Université Paris Cité
Céline
Béji
Post-doctoral researcher at CRESS, Université Paris Cité Céline Béji is a Ph.D. Researcher in Machine Learning and Causal Inference applied to Healthcare, at Université de Paris, METHODS team, CRESS, Inserm UMR 1153. Previously, she was PhD student in LAMSADE computer laboratory, at Université Dauphine-PSL. Within the Data Science and Artificial Intelligence group MILES, she revisited causal inference in light of the latest advances in machine learning during her doctoral dssertation. Céline Béji have also developed a strong entrepreneurship mindset and aspire to participate in research and technological innovation through R&D DeepTech projects, to develop a breakthrough innovation with a high technological content.
Post-doctoral researcher at CRESS, Université Paris Cité Céline Béji is a Ph.D. Researcher in Machine Learning and Causal Inference applied to Healthcare, at Université de Paris, METHODS team, CRESS, Inserm UMR 1153. Previously, she was PhD student in LAMSADE computer laboratory, at Université Dauphine-PSL. Within the Data Science and Artificial Intelligence group MILES, she revisited causal inference in light of the latest advances in machine learning during her doctoral dssertation. Céline Béji have also developed a strong entrepreneurship mindset and aspire to participate in research and technological innovation through R&D DeepTech projects, to develop a breakthrough innovation with a high technological content.