Applied Causal AI
Hands-on Workshops for Data Scientists
This program answers: Why traditional ai is not made for causal estimation? How causal inference can help? What is causal AI and how to use it?
Participants will learn practical approaches for designing and implementing A/B tests and explore quasi-experimental methods to uncover causal relationships when randomization isn’t feasible. Through hands-on guidance, industry data teams will gain the skills to apply these techniques effectively in real-world scenarios.
Practical Training for Industry Data Teams
Part I : Predictive vs. Causal inference
Understand the difference between predictive and causal inference to know when to use traditional ML, causal inference and causal ML.
Part II : A/B testing
While randomization is often called the Gold Standard for measuring causal effects, it is full of challenges. Learn how to implement it efficiently and safely.
Part III : Quasi-experimental methods
Complement your toolkit with quasi-experimental methods, enabling you to measure causal effects when randomization is not possible or has significant limitations.
Start the revolution today
Flexible format
🕒 Duration: 2 hours to several days
📣 Format: Online or on-site
🏷️ Price: 4000 USD / half day
💬 Language: FR or EN
The workshop content is customized to align with the participants' existing knowledge and the client's specific objectives.
Potential subjects
Causal vs. Predictive inference
Directed Graphs
Potential outcomes
Good and Bad Controls
A/B testing
Double Machine Learning and Causal Forest
Quasi-experimental methods
Fixed Effects
Difference-in-Difference
Synthetic Control Method
Instrumental Variable
and more
Quentin Gallea, Ph.D
With over a decade of expertise in causal analysis, data science, and decision-making, Dr. Quentin Gallea turns complex insights into practical solutions.
KEY NUMBERS
12 years of experience in data science
12,000 students
6 Teaching & Research awards
Current Roles
2019 - present | Founder, Advisor and Keynote speaker
Strategic advice, technical consulting and educational content.
The Causal Mindset
2024 - present | Senior Advisor (On-Call)
Supporting strategic decision with my expertise in data science.
Enlighten Advisory
2018 - present | Lecturer (part-time)
Teaching data science in academia and beyond.
EPFL | University of Lausanne | University of Zurich | Graduate Institute | ISM University of Management and Economics