Quentin Gallea, Ph.D
Causal AI & Science-Based GenAI
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AI Decisions You Can Trust.
AI Decisions You Can Trust.
With over a decade of expertise and 15,000 people trained, I help organizations make smarter, evidence-based decisions with Causal AI & Science-Based GenAI.
Most AI today predicts what will happen but fails to explain why. That’s risky for high-stakes industries like pharma, banking, legal sector and tech, where bad decisions are costly and reliable information is key.
I bring scientific rigor to AI adoption, helping companies move beyond statistical guesswork to truly causal, data-driven decision-making.
Advisory | Training | Public Speaking and Teaching
Tailor-made services to match your needs
Tailor-made services to match your needs
Strategic advice to leaders
Applying Causal AI & GenAI to make high-stakes decisions with confidence.
Expert Guidance on GenAI & Causal AI
Selecting and applying the right methodologies for trustworthy AI insights.
Keynotes, Workshops & Training
Engaging, science-backed sessions on Causal AI, Responsible GenAI & decision-making.
Why Causal AI?
Why Causal AI?
“If all you have is a hammer, everything looks like a nail.”
In the era of AI and Machine Learning, these tools are often used as a hammer to solve every problem. While AI is profoundly useful and important, AI is not always the solution. Most importantly, AI is a powerful tool to recognize patterns but it is lacks understanding of the "Why?".
To make effective decisions, it is essential to know not just what will happen, but why it happens. Traditional AI is often limited by correlation-based insights, relying on vast amounts of historical data to predict future trends. However, without causation, these predictions may be biased or misguided.
About
About
Dr. Quentin Gallea has extensive experience in teaching statistics and causal inference to diverse audiences, from economists to participants in startup incubators, including medical researchers, engineers, and marketing experts. Over the last decade his practical approach has empowered over 10,000 people to apply causal thinking in their respective fields. His expertise has also been successfully implemented in research projects addressing timely and complex geopolitical challenges, such as the effect of COVID lockdowns on virus spread and the impact of weapons imports in Africa on migration flows and conflicts [more about his research here].
Quentin has several roles today. As the founder of The Causal Mindset, he provides independent advice, and teach in several universities and engineering schools (EPFL, University of Lausanne, Graduate Institute Geneva, ISM University of Management and Economics). In addition, Quentin is a senior advisor at Enlighten Advisory, offering his expertise to support strategic decisions.
Discover the services [here] or his research [here]
You can access all his resources (articles, videos, posts) [here]
Current Academic Classes :
Data Science and Statistics (EPFL)
Responsible use of GenAI (CAS AI and Law, University of Neuchatel)
How to code in Python with GenAI (Multiple institutions)
Economics for Challenging Times (EPFL)
Applied Statistics and Econometrics (University of Lausanne)
Political Economy I (University of Lausanne)
Data Science for Marketing (ISM University of Management and Economics)
Biostatistics for In-Vivo Lab Directors (University of Zurich, LTK M2)
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