Antoine ProuvostCTOAntoine holds a Ph.D. in Machine Learning from Mila, the Montreal Institute for Learning Algorithms lead by Turing award winner and deep-learning pioneer Yoshua Bengio. He possesses extended experience in machine learning and software engineering. Antoine led the efforts for the development and maintenance of several high-scale open source projects such as Ecole and Mamba. To date, Antoine's projects boast several thousands of stars on Github and power several commercial and non-commercial code bases.[email protected]

Claudio SoleCSOClaudio holds a Ph.D. in Mathematical Optimization and has extensive experience in AI consulting. His research on data-driven assortment optimization introduced efficient methods for finding optimal assortments from large datasets. His expertise spans predictive analytics, assortment optimization and demand forecasting. Claudio’s work advanced the theoretical foundations of optimization and had significant practical implications for several retail industry players, enabling businesses to optimize their operations.[email protected]

Gabriele DragottoCEOGabriele holds a Ph.D. in Mathematical Optimization and has a deep expertise in data science and machine learning. Formerly a Schmidt DataX Fellow at Princeton's Center for Statistics and Machine Learning, Gabriele published in leading analytics journals like Management Science and INFORMS Journal on Computing. His innovative algorithmic tools have significantly enhanced decision efficiency and social equity across various domains, including cloud infrastructure, supermarkets, energy markets, and autonomous vehicles.[email protected]