Bertille PICARD

Bertille PICARD is an Assistant Professor (tenure track) in economics at CREST-ENSAI since September 2024. Her academic appointment positions her at the intersection of quantitative methods and economic policy analysis within the National School of Statistics and Information Analysis framework.

Her research program bridges econometrics and machine learning methodologies, with specific applications in policy evaluation and the study of economic inequalities. This interdisciplinary approach reflects current methodological innovations in empirical economics where traditional econometric techniques integrate with modern computational approaches.

Analysis of her limited publication record shows emerging work in digital economy applications, particularly examining how online platforms can improve skills signaling mechanisms. Her methodological focus suggests growing contributions to treatment effect estimation literature using adaptive experimental designs.

As a recent PhD graduate from Aix-Marseille School of Economics, her doctoral research investigated machine learning's strengths and limitations for treatment effect and counterfactual estimation, establishing her technical foundation in both economic theory and computational methods.

Professional activities indicate active engagement with the CREST research ecosystem, though specific advising relationships, grant funding, or laboratory affiliations aren't documented in the available materials. Her GitHub presence shows technical proficiency in maintaining academic digital infrastructure, including website development and research documentation.