Learn Causal AI, and reliable use of GenAI for research.

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"Sagacity and passion define Quentin's contributions. He makes us better, no matter the circumstances!"

Frédéric Cuguen

Group General Counsel, CW Partners

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"Quentin is the best expert in Causal AI I know. He elegantly combines a deep knowledge of all the subjects relating to statistics, AI and causality, with the most clear explanations for novices and experts alike. I still have his TED talk in mind in which he wrapped up very deep concepts of causality in one, enjoyable and actionable talk.""

Pr. Charles Ayoubi

Expert in technology (AI) and innovation, ESSEC Paris/Harvard Business School

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"Dr Gallea's training provides insights that are counterintuitive and very hard to find in other resources. I strongly recommend to anyone who wants to measure real impact and truly support decision making with data. I can highlight his clarity in explaining the distinction between statistical significance and causal importance, as well as the role of Double Machine Learning in estimating the effects of the one variables on each other."

Marcos Brum

Senior Data Scientist, AI Collaborator, Inc.

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"Combining engaging content, humour, powerful examples and science backed insights, this workshop was fascinating and rewarding. Quentin's master class - "Think causally, Act wisely" - provided our startup executives with a 'statistics first aid kit' and sharpened their tools to deal with bias."

James Miners

Head of startup & innovation programs, Fongit

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"Quentin Gallea is an exceptionally knowledgeable and approachable expert in causal inference. His advice is clear and accessible while remaining rigorous and detailed, and he takes the time to genuinely engage with your questions and research context. His passion for doing causality properly is obvious throughout his work and interactions."

Carlo Maino

Scientific Collaborator, HES-SO

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"I recently took one of Dr. Quentin Gallea's trainings, 'From Prediction to Causation,' and was genuinely impressed. His deep expertise in causality clearly shows, and he explains the real power of causal thinking and how it differs from predictive models in a very clear way. He also highlights common pitfalls, challenges, and risks, helping to deconstruct many assumptions and misconceptions around the fundamentals. Clear, rigorous, and very practical, definitely worth it!"

Camilo Caceres

Data Science/ Machine Learning Expert - Staff Engineer, Mercado Libre