The Pod of Asclepius is a healthcare technology podcast for the technical crowd.
No fluff, no sales pitches, just important health tech ideas (described well!) to help everyone keep learning and becoming more of an expert in the field.
Our guests are top researchers (from academia and industry), entrepreneurs, and regulatory experts. They will talk about cool technology, from data science to engineering, but also share insights on practical concerns of bridging the gap between technical innovation and a clinical solution.
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The Pod of Asclepius is a healthcare technology podcast for the technical crowd.
No fluff, no sales pitches, just important health tech ideas (described well!) to help everyone keep learning and becoming more of an expert in the field.
Our guests are top researchers (from academia and industry), entrepreneurs, and regulatory experts. They will talk about cool technology, from data science to engineering, but also share insights on practical concerns of bridging the gap between technical innovation and a clinical solution.
Ruda Zhang | Gaussian Process Subspace Regression
Ruda Zhang (Duke University) walks us through "Gaussian Process Subspace Regression for Model Reduction" by Zhang, Mak, and Dunson.
To keep the topic interesting for both the early career & advanced audience we recap key points at a high level so that no one gets lost.
This episode involves a presentation, so you may prefer to watch the YouTube version here: https://youtu.be/IPtqUUG4XcY
Ruda's website: https://ruda.city/The paper: https://arxiv.org/abs/2107.04668
Data & Science with Glen Wright Colopy
The Pod of Asclepius is a healthcare technology podcast for the technical crowd.
No fluff, no sales pitches, just important health tech ideas (described well!) to help everyone keep learning and becoming more of an expert in the field.
Our guests are top researchers (from academia and industry), entrepreneurs, and regulatory experts. They will talk about cool technology, from data science to engineering, but also share insights on practical concerns of bridging the gap between technical innovation and a clinical solution.
