Causal Bandits Podcast

About 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

Publisher

Alex Molak

Category

business · science · technology

Language

en

Explicit

No

First episode

6 Nov 2023

Latest episode

28 Sept 2026

Latest episodes

4 of 41 episodes have a transcript.

1. 

   28 Sept 2026TRANSCRIPT

   Spaceflight Epidemiologist's Grand DAG | Robert Reynolds, PhD S3E01 | CausalBanditsPodcast.com

   Host Robert J. Reynolds, PhD, explores building causal models for astronaut health risks with NASA, offering insights into complex health challenges.

2. 

   13 Jul 2026

   Can You Trust It? (One Day, 140K Downloads) | Isaac Gerber S2E12 | CausalBanditsPodcast.com

   Send us Fan Mail 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 differ...

3. 

   1 Jun 2026

   Strait of Hormuz: Causal Models for Rare Events | Alexander Denev S2E11 | CausalBanditsPodcast.com

   Send us Fan Mail *How do you forecast an event that has never happened before?* How do you forecast an event that has never happened before? The recent closure and reopening of the Strait of Hormuz are unique events. For events like these, traditional risk models lose their statistical basis: repetition. Alexander Denev returns to the podcast to show how causal models (Bayesian networks) let us reason about rare events despite this limitation. In this episode, we cover: - Why value-at-ris...

Inside a recent episode

Spaceflight Epidemiologist's Grand DAG | Robert Reynolds, PhD S3E01 | CausalBanditsPodcast.com

Published 28 Sept 2026 · Transcript excerpt

[…] So in my context, it was about human system risk in spaceflight. So we had 29 separate agency defined risks that people were worried about, things that happen to the human body once you enter the spaceflight environment. And it's all very complex. So trying to understand how those things function just in isolation and how they interact with each other was a big challenge. So that sort of naturally extends itself out to other areas. And we've tried this with cerebral palsy, for example. worked well there. Anywhere that you're looking at a complex system, then you can draw one of these pictures and continue to revise it as you learn more. […]

Reach and audience

Public platform figures. Ratings count people who left a rating, not total listeners.

Apple Podcasts (US)

4.7 / 5

7 ratings

Spotify

5.0 / 5

19 ratings

Podcast Authority Score: 39 / 100

A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.

Quality

45

Social presence

0

YouTube

0

Engagement

82

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Books guests

Based on episode analysis; this does not confirm that the show is currently accepting guests.

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