Curriculum

Work Experience

Malt

Sep 2024 - Present

Data Scientist / Applied Economist

Lead the evaluation of AI-powered matching and recommendation systems, measuring their impact on user behavior and marketplace outcomes. Establish experimentation methodologies and provide analytical expertise on high-impact product decisions. Develop methods to detect and mitigate algorithmic biases, contributing to responsible AI practices and research partnerships with academic institutions

France Travail

Jan 2021 - Sep 2024

Data Scientist, PhD Researcher

Designed and evaluated large-scale AI-driven matching and recommendation systems serving millions of job seekers. Led end-to-end adaptive experimentation projects using multi-armed bandits. Evaluated the fairness of recommendation algorithms, identifying risks and proposing mitigation strategies. Led multidisciplinary projects with software engineers, caseworkers, economists, and behavioral scientists

World Bank

Aug. 2020 - Nov. 2020

Short-term Consultant

Provided research support on the use of Generic Machine Learning methods for analyzing heterogeneity in randomized trials

European Central Bank

Jan. 2019 - Oct. 2019

Research Assistant

Provided research support for financial experts in the Financial Stability Surveillance Division. - Edited the Financial Stability Review, focusing on the non-bank financial sector

Rexecode

Jun 2018 - Dec. 2018

Consultant (Intern)

Edited the Monthly Report on the Economic Situation in Spain and Latin America. - Responsible for the annual report on the competitiveness of France

Education

CREST

April 2021 - Present

PhD in Economics

Supervisors : Arne Uhlendorff, Bruno Crépon

ENSAE

2019 - 2020

Master in Data Science

Paris School of Economics

2016 - 2018

Master in Economics

Teaching

Paris I Panthéon-Sorbonne

April 2021 - Present

Teaching Assistant in Econometrics

Introduction to formal statistical theory of linear regression model, intuitive understanding of the principles of econometric analysis and basic applications on real data with R

ENSAE

2020 - 2023

Statistics Project Supervisor

Supervision of groups of students in machine learning projects (Natural Language Processing, Recommendation Algorithms, Machine Learning methods for heterogeneity analysis in randomized experiment)