Artificial Intelligence, Personalized Medicine, and Causal Bounds with Judea Pearl
Listen now
Description
In this episode Lucy D'Agostino McGowan and Ellie Murray chat with Judea Pearl, Chancellor professor of computer science and statistics at the University of California, Los Angeles.
📄 Judea's recent papers
📖 Book of Why
Follow along on Twitter:
Judea: @yudapearl The American Journal of Epidemiology:Â @AmJEpi Ellie:Â @EpiEllie Lucy:Â @LucyStats Slide link: https://bit.ly/3DnQai5
🎶 Our intro/outro music is courtesy of Joseph McDade
Â
More Episodes
Nima Hejazi is an assistant professor in biostatistics at Harvard University. His methodological work often draws upon tools and ideas from semi- and non-parametric inference, high-dimensional and large-scale inference, targeted or debiased machine learning (e.g., targeted minimum loss...
Published 05/16/24
Published 05/16/24
Aaditya Ramdas is an assistant professor at Carnegie Mellon University, in the Departments of Statistics and Machine Learning. His research interests include game-theoretic statistics and sequential anytime-valid inference, multiple testing and post-selection inference, and uncertainty...
Published 05/01/24
Links
Genres
Artwork or description wrong?
Request an update »
Updates may take a few minutes.
Do you host a podcast?
Track your ranks and reviews from Spotify, Apple Podcasts and more.
See hourly chart positions and more than 30 days of history.
Get Chartable Analytics »
See hourly chart positions and more than 30 days of history.
