Gaspard is a Ph.D student at the Université Paris 1 – Panthéon Sorbonne. After a Bachelor's degree at the Toulouse School of Economics and a Master in Applied Economics and Public Policy, he engaged in a Ph.D. to work on the interaction between machine learning and public policy.
His dissertation focus on three main subjects: Machine Learning applied to microeconometrics, Economics and Econometrics evaluation of public predictive algorithms, and the regulation and optimization of predictive systems using microeconomics model. His work found application in higher education policy, Police reform, and criminality. Except for his thesis, he works on topics related to machine learning and expert system complementarity, and social diversity in secondary education.
He also work as co-editor of a student social science review and funded a Ph.D. seminar at his home institution.