Quentin Gallea, Ph.D
Think Causally, Act Wisely
Elevating Decision-Making with
Causal Analysis
With over a decade of experience in scientific research and educating more than 10,000 individuals, I specialize in applying causal inference (the study of causality) to enhance decision-making.
By identifying the cause and consequences, you can go beyond correlation and intuition, allowing you to make reliable data-driven decisions.
Advisory | Training | Public Speaking and Teaching
Tailor-made services to match your needs
Strategic advice to leaders Applying causal analysis to enhance decision-making
Expert guidance on choosing and applying methodologies for causal inference and AI.
Educational keynotes, workshops, and trainings to cultivate a causal mindset
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)