Best Causal Inference Podcasts (2025)

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Causal Inference, Human Behavior, Science Crisis & The Power of Causal Graphs | Julia Rohrer S2E5 | CausalBanditsPodcast.com 1:22:27

12d ago1:22:27

1:22:27

Send us a text *Causal Inference From Human Behavior, Reproducibility Crisis & The Power of Causal Graphs* Is Jonathan Heidt right that social media causes the mental health crisis in young people? If so, how can we be sure? Can other disciplines learn something from the reproducibility crisis in Psychology, and what is multiverse analysis? Join us…

1
Combining Data & Making Effects Generalizable with Carly Brantner | Season 6 Episode 7 52:05

4d ago52:05

52:05

Carly Brantner is an assistant professor of Biostatistics & Bioinformatics at Duke University and Duke Clinical Research Institute. Follow along on Bluesky: Carly: @carlybrantner.bsky.social Ellie: @epiellie.bsky.social Lucy: @lucystats.bsky.social 🎶 Our intro/outro music is courtesy of Joseph McDade. Edited by Cameron Bopp.…

1
 JAMA Guide to Statistics and Methods: Collider Bias With Dr Andersen 19:26

11d ago19:26

19:26

Lars W. Andersen, MD, MPH, PhD, DMSc, Aarhus University, discusses collider bias in the JAMA Guide to Statistics and Methods series with JAMA Statistical Editor Roger J. Lewis, MD, PhD. Related Content: Collider Bias

1
The Art of Clarity with Andrew Heiss | Season 6 Episode 6 49:31

18d ago49:31

49:31

Andrew Heiss is an assistant professor in the Department of Public Management and Policy at the Andrew Young School of Policy Studies at Georgia State University. Vincent’s “What is your estimand” section in his {marginaleffects} book: https://marginaleffects.com/chapters/challenge.html#sec-goals_estimand Article on defining estimands: https://doi.…

1
Study Critique: What Went Wrong and How We'd Do It Differently | Season 6 Episode 5 55:22

1M ago55:22

55:22

In this episode Lucy and Ellie dig into a recently publicized paper, "Vaccination and Neurodevelopmental Disorders: A Study of Nine-Year-Old Children Enrolled in Medicaid", which has gained attention after being promoted by RFK Jr. as evidence that vaccines cause autism. Ellie breaks down her Substack critique of the study. Together, she and Lucy d…

1
From Model to Meaning with Vincent Arel-Bundock | Season 6 Episode 4 45:20

2M ago45:20

45:20

Vincent Arel-Bundock is a professor at the Université de Montréal, where he studies comparative and international political economy. Vincent's website: https://arelbundock.com/ Vincent's book "Model to Meaning: How to Interpret Statistical Models With marginaleffects for R and Python": https://marginaleffects.com/ Follow along on Bluesky: Vincent: …

1
Transforming Health Systems Through Causal Inference: A Conversation with Dr. Miguel Hernán 38:23

2M ago38:23

38:23

In this episode of "Gateway to Informatics," Dr. Philip Payne, the WashU medicine chief data scientist and director of I2DB, engages in a thought-provoking conversation with Dr. Miguel Hernán, a leading expert in causal inference from the Harvard T.H. Chan School of Public Health. Dr. Hernán shares insights into his career journey, which began unex…

1
MSFT Scientist: Agents, Causal AI & Future of DoWhy | Amit Sharma S2E4 | CausalBanditsPodcast.com 1:10:43

2M ago1:10:43

1:10:43

Send us a text *Agents, Causal AI & The Future of DoWhy* The idea of agentic systems taking over more complex human tasks is compelling. New "production-grade" frameworks to build agentic systems pop up, suggesting that we're close to achieving full automation of these challenging multi-step tasks. But is the underlying agentic technology itself re…

1
Propensity Scores, R Packages, and Practical Advice with Noah Greifer | Season 6 Episode 3 1:22:09

2M ago1:22:09

1:22:09

Noah Greifer is a statistical consultant and programmer at Harvard University. Episode notes: WeightIt package: https://ngreifer.github.io/WeightIt/ MatchIt package: https://kosukeimai.github.io/MatchIt/ Noah's awesome Stack Exchange post: https://stats.stackexchange.com/a/544958 Follow along on Bluesky: Noah: @noahgreifer.bsky.social Ellie: @EpiEl…

1
Nonparametric Statistical Analysis With Dr Lachin 11:56

2M ago11:56

11:56

John M. Lachin, ScD, Biostatistics Center, George Washington University, discusses Nonparametric Statistical Analysis with JAMA Statistical Editor Roger J. Lewis, MD, PhD. Related Content: Nonparametric Statistical Analysis

1
Causal Secrets of N=1 Experiments | Eric Daza S2E3 | CausalBanditsPodcast.com 1:01:47

3M ago1:01:47

1:01:47

Send us a text 📽️ FREE Online Course on Causality 📕 Causal Inference & Discovery in Python Causal Secrets of N=1 Experiments Join me for a one of a kind conversation on the opportunities and challenges of n-of-1 trials, Eric's causal journey, his path into statistics, his love of sci-fi, and how single-subject experiments could reshape personalized…

1
Causal Assumptions and Large Language Models | Season 6 Episode 2 51:51

3M ago51:51

51:51

Lucy and Ellie chat about large language models, chat interfaces, and causal inference. Do LLMs Act as Repositories of Causal Knowledge?: https://arxiv.org/html/2412.10635v1 Follow along on Twitter: The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro music is courtesy of Joseph McDade. Edited by Cameron…

1
Transforming Government through Digital Innovation: A Conversation with Jennifer Pahlka 37:45

3M ago37:45

37:45

In this compelling episode of Gateway to Informatics, Dr. Philip Payne, WashU's chief data scientist and director of the Institute for Informatics, Data Science and Biostatistics (I2DB), delves into an insightful discussion with Jennifer Pahlka, author of Recoding America: Why Government Is Failing in the Digital Age and How We Can Do Better. Pahlk…

1
Data Integration for Impact with Len Testa | Season 6 Episode 1 44:48

4M ago44:48

44:48

Lucy chats with Len Testa about a recent analysis he did which combined over 150 publicly available data sources to answer a question about the affordability of Disney World. Len's Deep Dive Post on the Touring Plans Blog [Blog Post] Wall Street Journal Artcile, "Even Disney Is Worried About the High Cost of a Disney Vacation" [Article] Follow alon…

1
Bridging AI and Healthcare: An In-depth Conversation with Dr. Chenyang Lu 34:19

4M ago34:19

34:19

Today, we're joined by Dr. Chenyang Lu, a renowned computer scientist and the founding director of the AI for Health Institute here at WashU. Now, I've had the privilege of knowing Dr. Lu for years, and I can tell you firsthand that he is one of the most innovative thinkers when it comes to bridging the gap between AI and healthcare. In fact, as Dr…

1
The Use of Historical Controls in Clinical Trials, With Dr Althouse 20:45

4M ago20:45

20:45

Andrew D. Althouse, PhD, University of Pittsburgh School of Medicine discusses The Use of Historical Controls in Clinical Trials with JAMA Statistical Editor Roger J. Lewis, MD, PhD. Related Content: The Use of Historical Controls in Clinical Trials

1
From Quantum Physics to Causal AI at Spotify | Ciarán Gilligan-Lee S2E2 | CausalBanditsPodcast.com 52:43

5M ago52:43

52:43

Send us a text From Quantum Causal Models to Causal AI at Spotify Ciarán loved Lego. Fascinated by the endless possibilities offered by the blocks, he once asked his parents what he could do as an adult to keep building with them. The answer: engineering. As he delved deeper into engineering, Ciarán noticed that its rules relied on a deeper structu…

1
49% Less Loss with Causal ML | Stefan Feuerriegel S2E1 | CausalBanditsPodcast.com 29:08

5M ago29:08

29:08

Send us a text Stefan Feuerriegel is the Head of the Institute of AI in Management at LMU. His team consistently publishes work on causal machine learning at top AI conferences, including NeurIPS, ICML, and more. At the same time, they help businesses implement causal methods in practice. They worked on projects with companies like ABB Hitachi, and…

1
Informatics in Action: A Conversation with Mary Politi on Data-Driven Decision Support 39:02

5M ago39:02

39:02

Welcome to Gateway to Informatics, a podcast hosted by Dr. Philip Payne, Chief Data Scientist at WashU Medicine and Director of the Institute for Informatics, Data Science, and Biostatistics (I2DB). Each episode features conversations with prominent figures in informatics, research, and healthcare. Our podcast delves into the latest developments, c…

1
Exploring the Frontiers of Genetics and Genomics with Ting Wang 33:21

6M ago33:21

33:21

Welcome to Gateway to Informatics, a podcast hosted by Dr. Philip Payne, Chief Data Scientist at WashU Medicine and Director of the Institute for Informatics, Data Science, and Biostatistics (I2DB). Each episode features conversations with prominent figures in informatics, research, and healthcare. Our podcast delves into the latest developments, c…

1
Causal AI at cAI 2024 London | CausalBanditsPodcast.com 20:01

6M ago20:01

20:01

Send us a text Causal Bandits at cAI 2024 (The Royal Society, London) The cAI Conference in London slammed the door on baseless claims that causality cannot be used in industrial practice. In the episode of Causal Bandits Extra we interview participants and speakers at Causal AI Conference London, who share their main insights from the event, and t…

1
Futility in Clinical Trials With Dr Wendelberger 15:10

6M ago15:10

15:10

Barbara Wendelberger, PhD, Berry Consultants, discusses Futility in Clinical Trials with JAMA Statistical Editor Roger J. Lewis, MD, PhD. Related Content: Futility in Clinical Trials

1
From Computer Science to Clinical Impact: Albert Lai's Informatics Journey 36:07

7M ago36:07

36:07

Welcome to Gateway to Informatics, a podcast hosted by Dr. Philip Payne, Chief Data Scientist at WashU Medicine and Director of the Institute for Informatics, Data Science, and Biostatistics (I2DB). Each episode features conversations with prominent figures in informatics, research, and healthcare. Our podcast delves into the latest developments, c…

1
Interim Analyses During Group Sequential Trials With Dr Meurer 16:14

7M ago16:14

16:14

William J. Meurer, MD, MS, University of Michigan Medical School, discusses Interim Analyses During Group Sequential Trials with JAMA Statistical Editor Roger J. Lewis, MD, PhD. Related Content: Interim Analyses During Group Sequential Clinical Trials

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Causal Bandits @ CLeaR 2024 | Part 2 | CausalBanditsPodcast.com 22:05

8M ago22:05

22:05

Send us a text Which models work best for causal discovery and double machine learning? In this extra episode, we present 4 more conversations with the researchers presenting their work at the CLeaR 2024 conference in Los Angeles, California. What you'll learn: - Which causal discovery models perform best with their default hyperparameters? - How t…

1
Bridging Data, Medicine, and Mentorship: Insights from Atul Butte 28:37

8M ago28:37

28:37

Welcome to Gateway to Informatics, a podcast hosted by Dr. Philip Payne, Chief Data Scientist at WashU Medicine and Director of the Institute for Informatics, Data Science, and Biostatistics (I2DB). Each episode features conversations with prominent figures in informatics, research, and healthcare. Our podcast delves into the latest developments, c…

1
Causal Bandits @ CLeaR 2024 | Part 1 | CausalBanditsPodcast.com 22:11

8M ago22:11

22:11

Send us a text Root cause analysis, model explanations, causal discovery. Are we facing a missing benchmark problem? Or not anymore? In this special episode, we travel to Los Angeles to talk with researchers at the forefront of causal research, exploring their projects, key insights, and the challenges they face in their work. Time codes: 0:15 - 02…

1
Causal Bandits @ AAAI 2024 | Part 2 | CausalBanditsPodcast.com 22:38

9M ago22:38

22:38

Send us a text *Causal Bandits at AAAI 2024 || Part 2* In this special episode we interview researchers who presented their work at AAAI 2024 in Vancouver, Canada. Time codes: 00:12 - 04:18 Kevin Xia (Columbia University) - Transportability 4:19 - 9:53 Patrick Altmeyer (Delft) - Explainability & black-box models 9:54 - 12:24 Lokesh Nagalapatti (IIT…

1
Causal Bandits @ AAAI 2024 | Part 1 | CausalBanditsPodcast.com 19:35

9M ago19:35

19:35

Send us a text Causal Bandits at AAAI 2024 || Part 1 In this special episode we interview researchers who presented their work at AAAI 2024 in Vancouver, Canada and participants of our workshop on causality and large language models (LLMs) Time codes: 00:00 Intro 00:20 Osman Ali Mian (CISPA) - Adaptive causal discovery for time series 04:35 Emily M…

1
Genome-Wide Association Studies With Dr Rotter 23:26

9M ago23:26

23:26

Jerome I. Rotter, MD, The Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute, Department of Pediatrics, Harbor-UCLA Medical Center, discusses Genome-Wide Association Studies with JAMA Statistical Editor Roger J. Lewis, MD, PhD. Related Content: Genome-Wide Association Studies…

1
Free Will, LLMs & Intelligence | Judea Pearl Ep 21 | CausalBanditsPodcast.com 54:40

10M ago54:40

54:40

Send us a text Meet The Godfather of Modern Causal Inference His work has pretty literally changed the course of my life and I am honored and incredibly grateful we could meet for this great conversation in his home in Los Angeles To anybody who knows something about modern causal inference, he needs no introduction. He loves history, philosophy an…

1
Conditional Power: How Likely Is Trial Success? 16:28

11M ago16:28

16:28

Benjamin R. Saville, PhD, president and lead statistical scientist of Adaptix Trials, LLC and adjoint associate professor of biostatistics at Vanderbilt University Medical Center, discusses Conditional Power: How Likely Is Trial Success? with JAMA Statistical Editor Roger J. Lewis, MD, PhD. Related Content: Conditional Power…

1
Causal AI & Individual Treatment Effects | Scott Mueller Ep. 20 | CausalBanditsPodcast.com 53:13

11M ago53:13

53:13

Send us a text Can we say something about YOUR personal treatment effect? The estimation of individual treatment effects is the Holy Grail of personalized medicine. It's also extremely difficult. Yet, Scott is not discouraged from studying this topic. In fact, he quit a pretty successful business to study it. In a series of papers, Scott describes …

1
Starting the Conversation on Models with Alyssa Bilinski | Season 5 Episode 11 48:12

11M ago48:12

48:12

Alyssa Bilinski, Peterson Family Assistant Professor of Health Policy, and Assistant Professor of Biostatistics, at Brown University School of Public Health. Her research focuses on developing novel methods for policy evaluation and applying these to identify interventions that most efficiently improve population health and well-being. Episode note…

1
Bayesian Hierarchical Models With Dr McGlothlin 15:07

12M ago15:07

15:07

Anna E. McGlothlin, PhD, Berry Consultants, LLC, discusses Bayesian Hierarchical Models with JAMA Statistical Editor Roger J. Lewis, MD, PhD. Related Content: Bayesian Hierarchical Models

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Causal AI in Personalization | Dima Goldenberg Ep 19 | CausalBanditsPodcast.com 1:07:12

12M ago1:07:12

1:07:12

Send us a text Video version of this episode is available here Causal personalization? Dima did not love computers enough to forget about his passion for understanding people. His work at Booking.com focuses on recommender systems and personalization, and their intersection with AB testing, constrained optimization and causal inference. Dima's pass…

1
Flexible methods with Edward Kennedy | Season 5 Episode 10 38:57

12M ago38:57

38:57

Edward Kennedy Associate Professor, Department of Statistics & Data Science, Carnegie Mellon. ehkennedy.com Evaluating a Targeted Minimum Loss-Based Estimator for Capture-Recapture Analysis: An Application to HIV Surveillance in San Francisco, California: https://academic.oup.com/aje/article/193/4/673/7425624 Doubly Robust Capture-Recapture Methods…

1
Causal Inference for Drug Repurposing & CausalLib | Ehud Karavani Ep 18 | CausalBanditsPodcast.com 54:04

12M ago54:04

54:04

Send us a text Was Deep Learning Revolution Bad For Causal Inference? Did deep learning revolution slowed down the progress in causal research? Can causality help in finding drug repurposing candidates? What are the main challenges in using causal inference at scale? Ehud Karavani, the author of the CausalLib Python library and Researcher at IBM Re…

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What Sports and Feminism can tell us about Causal Inference with Sheree Bekker & Stephen Mumford | Season 5 Episode 9 49:43

1y ago49:43

49:43

Sheree Bekker & Stephen Mumford are Co-directors of the Feminist Sport Lab and have a book coming soon: “Open Play: the case for feminist sport”, coming Spring 2025. Reaktion Books (UK), University of Chicago Press (US). Sheree Bekker: Associate Professor, University of Bath, Department for Health, Centre for Qualitative Research Centre for Health …

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Sequential, Multiple Assignment, Randomized Trial Designs With Dr Kidwell 13:27

1y ago13:27

13:27

Kelley Kidwell, PhD, professor of biostatistics, University of Michigan, discusses Sequential, Multiple Assignment, Randomized Trial Designs with JAMA Statistical Editor Roger J. Lewis, MD, PhD. Related Content: Sequential, Multiple Assignment, Randomized Trial Designs

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