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This is where I share some of my favorite resources — insightful articles, tutorials, and links that I’ve found particularly useful or inspiring.

Resources I Find Useful

• Matteo Courthoud’s Articles:
  Matteo Courthoud on Towards Data Science — great insights on data science and causal inference.

• Causal Inference for The Brave and True:
  Causal Inference for The Brave and True — an engaging and practical guide to causal inference using Python.

• Causal ML Book: Applied Causal Inference Powered by ML and AI — THE causal ML book by Victor Chernuzhokov, Christian Hansen, Nathan Kallus, Martin Spindler, and Vasilis Syrgkanis

• Online Causal Inference Seminar:
  OCIS — a regular international seminar where top researchers present recent work, followed by high-quality discussions.

• Industry Tech Blogs:
  Cutting-edge insights on experimentation and causal inference in digital platforms from leading tech companies:

  • Instacart Tech Blog
  • Netflix Tech Blog