Les mathématiques ne devraient jamais pouvoir être ennuyeuses.
Lieu de travail de l'équipe Jalgos
au Liberté Living Lab
sur une île de Grèce
à Los Angeles
Imperial College London,
Paris School of Economics, UCLA
A physics graduate from Imperial College London, Michael started his career as a strategy consultant in financial services. He returned to academia for a masters in quantitative economics at the Paris School of Economics. After starting a PhD at UCLA, Michael became a partner and data scientist at Jalgos, applying his statistical modeling and consulting skills to help businesses grow.
Sébastien graduated from École Polytechnique in applied mathematics and finance, and specialized further in financial modeling and statistics at NYU.
He worked as an algorithmic trader at Barclays, building automated trading programs to detect and leverage signals on financial markets. He then co-founded Jalgos to bring his A.I. expertise to companies.
After graduating in physics and economics from École Polytechnique, Julien specialized in statistics and international business at ENSAE and Sciences-Po. He worked as a consultant in the banking industry for a few years while teaching economics and quantitative methods. After being chief scientist at Nukomeet, he co-founded Jalgos to build high-end algorithms and “solve intelligence”.
Le vrai danger n'est pas que les ordinateurs se mettent à penser comme des Hommes,
Sydney J. Harris