Arnault Gombert

AI Scientist

Master's, ENSEA ParisTech and Université Paris-Saclay

Research interests

  • Social networks demographics identification with Natural Language Processing
  • Bias detection and mitigation in Machine Learning
  • Explainability in Machine Learning
  • Semi-supervised methods in natural language processing
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Teaching at the Barcelona School of Economics

Arnault Gombert is a senior AI scientist working with NGOs and international institutions as a freelancer. He has led and contributed to research projects applying ML, NLP and AI to media analysis, bias identification and mitigation, and other social science applications. He has been a lecturer in advanced NLP methods at the Barcelona School of Economics (BSE) since 2022.

Arnault studied at ENSAE, where he earned an engineering degree in statistics and economics. He also holds a research master’s in quantitative economics, jointly awarded by Université Paris-Saclay, HEC Paris, École Polytechnique and ENSAE.

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