PR[AI]RIE Researcher

Godard Mathilde

CNRS Researcher at Dauphine-PSL (Economics Department, LEDa).  Her research focuses on the effects of economic uncertainty on health, as well as on the interaction of social insurance programs with health and labor markets. She combines causal inference methods with natural experiments to answer causal questions, but is also interested in the recent developments of ML for causal inference. As affiliated professor at PSL, she teaches “Machine Learning for Economists” at Dauphine-PSL. Her research has been funded by the European Commission (Marie Curie IEF), and more recently by the ANR JCJC RecessionsHealth (2021). She has published articles in the Journal of Health Economics, Journal of Human Resources, AEJ: Economic Policy, and Health Economics She is also a member of ISNS (Institut Santé Numérique en Société) at PariSanté Campus. At ISNS, she coordinates a group working on the development of a simplified, shared relational schema for the SNDS, to facilitate code reuse across different research projects.