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.
Simon Mak | Integrating Science into Stats Models#statistics #science #ai
It’s a common dictum that statisticians need to incorporate domain knowledge into their modeling and the interpretation of their results. But how deeply can scientific principles be embedded into statistical models? Prof. Simon Mak (Duke University) is pushing this idea to the limit by integrating fundamental physics, physiology, and biology into both the models and model inference. This includes Simon’s joint work with Profs. David Dunson and Ruda Zhang (also of Duke University).
Scientific reasoning AND stats. What more could we ask for?
Enjoy!
Watch it on....
YouTube: https://youtu.be/bUbZO7R4z40
Podbean: https://dataandsciencepodcast.podbean.com/e/simon-mak-integrating-science-into-stats-models/
00:00 - COMING UP….Scientists & Statisticians02:09 - Introduction - Integrating scientific knowledge into AI/ML06:08 - How much domain knowledge is sufficient?09:15 - Choosing which prior knowledge to integrate into a model14:49 - Black box & gray box optimization19:50 - Non-physics examples of integrating scientific theory into ML models22:45 - Scientific principles & modeling at different scales27:20 - Correlation is one just way of modeling linkage36:37 - Conditional independence & different-fidelity experiments39:40 - Innovation vs incorporation of known information in the model42:52 - Aortic stenosis example52:49 - Which mathematics can be used to represent scientific knowledge57:09 - How to acquire scientific domain knowledge1:02:45 - Complementary approaches to integrating science1:06:48 - Gaussian process & integrating priors over functions1:12:48 - A topic for statisticians and scientists to debate:science-based vs data-based learning.
Simon Mak's Webpage: https://sites.google.com/view/simonmak/home
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.
