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Causal Bandits Podcast
Causal Bandits Podcast with Alex Molak is here to help you learn about causality, causal AI and causal machine learning through the genius of others.
The podcast focuses on causality from a number of different perspectives, finding common grounds between academia and industry, philosophy, theory and practice, and between different schools of thought, and traditions.
Your host, Alex Molak is an a machine learning engineer, best-selling author, and an educator who decided to travel the world to record conversations with the most interesting minds in causality to share them with you.
Enjoy and stay causal!
Keywords: Causal AI, Causal Machine Learning, Causality, Causal Inference, Causal Discovery, Machine Learning, AI, Artificial Intelligence
Causal Bandits Podcast
Can You Trust It? (One Day, 140K Downloads) | Isaac Gerber S2E12 | CausalBanditsPodcast.com
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How do you trust causal inference code that no human has read?
On New Year's Day this year, Isaac Gerber was a little bored. A week later he had shipped diff-diff, a difference-in-differences library that has since crossed 140,000 downloads, built almost entirely by AI agents. In this conversation we get into how he makes causal inference software he can actually stand behind, even when he never reads the code.
In this episode, we cover:
How Isaac built diff-diff, a difference-in-differences library, in a single day (now 140,000+ downloads)
A five-step workflow for building causal inference software you can actually trust
Why he builds with one model family and validates with another
How silent failures, like quietly dropped covariates, slip into AI-written code, and how to catch them
Why verification, not writing code, is becoming the real bottleneck
Enjoy the episode!
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Video version available on YouTube: https://youtu.be/O53Ra0iIFp8
Recorded on Apr 28, 2026 in New York, USA.
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About The Guest
Isaac Gerber is a data science leader focused on causal inference methodology and the open-source tooling around it. Isaac has 20 years of experience at the intersection of data, analytics, and business.
Connect with Isaac:
- Isaac on LinkedIn: / isaac-gerber
- Isaac on GitHub: https://github.com/igerber
- Isaac's web page: https://igerber.com/
About The Host
Aleksander (Alex) Molak is an independent machine learning researcher, educator, entrepreneur and a best-selling author in the area of causality (https://amzn.to/3QhsRz4 ).
Connect with Alex:
- Alex on the Internet: https://bit.ly/aleksander-molak
Links
Web
Papers
- Gerber, I. (2026) - "Design-Based Variance Estimation for Modern Heterogeneity-Robust Difference-in-Differences Estimators" (https://arxiv.org/abs/2605.04124)
Let's connect!
👉🏼 Linkedin: / aleksandermolak
👉🏼 Bluesky: https://alxndrmlk.bsky.social
👉🏼 Tiktok: / alex.molak
Business
👉🏼 Consulting and Causal AI Training For Your Team: hello@causalpython.io
#machinelearning #causalai #causalinference #causality
Causal Bandits Podcast
Causal AI || Causal Machine Learning || Causal Inference & Discovery
Web: https://causalbanditspodcast.com
Connect on LinkedIn: https://www.linkedin.com/in/aleksandermolak/
Join Causal Python Weekly: https://causalpython.io
The Causal Book: https://amzn.to/3QhsRz4