Antoine B.

Help Growth team building data science solutions: marketing measurement, website classification, cost estimation etc.

A primary objective of Magnet is in making artificial intelligence more acceptable to society by solving some ethical issues of Machine Learning (ML) and on empowering end users of artificial intelligence. From a scientific perspective we focus on privacy, fairness, (data) sobriety. Our approaches are typically based on the common theme of leveraging the relationships between data and between learning objectives. We study graph-based machine learning methods which are the common foundations of the research group and we rely on methods coming from statistical and computational learning theory, graph theory, representation learning, (distributed) optimization and statistics. Our application domains cover health, mobility, social sciences, voice technologies.

Help automate processes and decisions to enhance product and help teams at BlaBlaCar and BlaBlaBus.