Simon Mak's guest appearances

Simon Mak

CEO Spotlight

Dallas Blockchain Podcast

Data & Science with Glen Wright Colopy

Mark Cuban

Mike Alfred

Cameron Mitchell

Scott Wheeler

David Brooks

Dave Hunter

Eric Johnson

Jeremy Stewart

Hari Mari

Bryan Adams

Andrew Gelman

Robert Hall

Tim O'Reilly

Mance Harmon

Scott Miller

OwlTail

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 &amp; 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 &amp; gray box optimization19:50 - Non-physics examples of integrating scientific theory into ML models22:45 - Scientific principles &amp; modeling at different scales27:20 - Correlation is one just way of modeling linkage36:37 - Conditional independence &amp; 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 &amp; 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

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: <a href="https://youtu.be/bUbZO7R4z40" rel="nofollow" target="_blank">https://youtu.be/bUbZO7R4z40</a> Podbean: <a href="https://dataandsciencepodcast.podbean.com/e/simon-mak-integrating-science-into-stats-models/" rel="nofollow" target="_blank">https://dataandsciencepodcast.podbean.com/e/simon-mak-integrating-science-into-stats-models/</a> 00:00 - COMING UP….Scientists &amp; Statisticians 02:09 - Introduction - Integrating scientific knowledge into AI/ML 06:08 - How much domain knowledge is sufficient? 09:15 - Choosing which prior knowledge to integrate into a model 14:49 - Black box &amp; gray box optimization 19:50 - Non-physics examples of integrating scientific theory into ML models 22:45 - Scientific principles &amp; modeling at different scales 27:20 - Correlation is one just way of modeling linkage 36:37 - Conditional independence &amp; different-fidelity experiments 39:40 - Innovation vs incorporation of known information in the model 42:52 - Aortic stenosis example 52:49 - Which mathematics can be used to represent scientific knowledge 57:09 - How to acquire scientific domain knowledge 1:02:45 - Complementary approaches to integrating science 1:06:48 - Gaussian process &amp; integrating priors over functions 1:12:48 - A topic for statisticians and scientists to debate:science-based vs data-based learning. Simon Mak's Webpage: <a href="https://sites.google.com/view/simonmak/home" rel="nofollow" target="_blank">https://sites.google.com/view/simonmak/home</a>

Simon Mak | Integrating Science into Stats Models

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Simon Mak, Professor of Practice & Director, SMU Cox Caruth Institute for Entrepreneurship

Simon Mak of Southern Methodist University (SMU) shares his thoughts on the current state of blockchain entrepreneurship and opportunities for the future. Thanks for listening! We look forward to hearing from you with any ideas, feedback, or collaboration ideas: podcast@dallasblockchainpodcast.com

Simon Mak of Southern Methodist University (SMU) shares his thoughts on the current state of blockchain entrepreneurship and opportunities for the future. Thanks for listening! We look forward to hearing from you with any ideas, feedback, or collaboration ideas: podcast@dallasblockchainpodcast.com

1-8 The Bleeding Edge Of Blockchain Entrepreneurship (Simon Mak)