Science
Hosted by Glen Wright Colopy · Science · EN
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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Contact path
Public web form
Booking probability
22%
Guest openness
Selective
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Signup to Generate a PitchThe 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.
Data & Science with Glen Wright Colopy is hosted by Glen Wright Colopy. The show has published 89 episodes to date.
Recent episodes include "Keith O’Rourke | The Logic of Statistics" (2 August 2022, 73 minutes), "Jack Fitzsimons | Evil Models: Hiding Malware in Neural Networks" (26 July 2022, 52 minutes), and "Scott Cunningham | Causal Inference (The Mixtape)" (18 July 2022, 81 minutes).
Data & Science with Glen Wright Colopy publishes roughly weekly, with episodes averaging 69 minutes across 89 episodes.
Booking probability for Data & Science with Glen Wright Colopy is 22%, and the host is rated Selective on guests. Data & Science with Glen Wright Colopy requires a Pod Score of 82 or higher. Data & Science with Glen Wright Colopy's contact route on record: public web form.
The strongest fits for Data & Science with Glen Wright Colopy are Health & Wellness Services and Scientific Research & Development. Data & Science with Glen Wright Colopy has a science audience.
Glen Wright Colopy hosts Data & Science with Glen Wright Colopy, a science podcast with 89 episodes published.
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Episode #91
<p>Keith O'Rourke | The Logic of Statistics</p> <p>Dr. Keith O'Rourke talks about the logical reasoning behind statistical modeling. Topics include mathematical vs scientific reasoning, whether science has become too...
<p>Jack Fitzsimons | Evil Models: Hiding Malware in Neural Networks</p> <p>Did you know that it's possible to hide malware in neural networks? Actually, you can hide malware in many statistical models. This is the...
<p>Scott Cunningham | Causal Inference (The Mixtape)<br> Scott Cunningham (Baylor University) discusses the ideas of his book "Causal Inference: The Mixtape". Topics include trusting inference in the absence of...
<p><br> Eric Daza | Important Ideas in Causal Inference</p> <p>YouTube: https://youtu.be/K5nsSMJVIT0<br> <br> </p> <p>Andrew Gelman and Aki Vehtari wrote a paper titled, "What are the most important statistical ideas of...
<p>Wenting and Weidong discuss how the statistical challenges in the biopharm industry have proliferated with the unique demands of biotech and related life science industries.</p>
<p>Ruda Zhang | Gaussian Process Subspace Regression</p> <p>Ruda Zhang (Duke University) walks us through "Gaussian Process Subspace Regression for Model Reduction" by Zhang, Mak, and Dunson.</p> <p>To keep the topic...
Episode #86
<p>Ruda Zhang | Math-Science Duality</p> <p>Watch it on...<br> Youtube: https://youtu.be/GoDwen-RGZg<br> Podbean: https://dataandsciencepodcast.podbean.com/e/ruda-zhang-math-science-duality/</p> <p>Statistics is thought...
<p>Simon Mak | Integrating Science into Stats Models<br> #statistics #science #ai</p> <p>It’s a common dictum that statisticians need to incorporate domain knowledge into their modeling and the interpretation of their...
<p>Martin Goodson | Practical Data Science & The UK's AI Roadmap</p> <p>#ai #datascience #startups</p> <p>Martin Goodson (Evolution AI) describes the key aspects of the UK's AI Roadmap & responses to the document by...
<p>Dr. Jack Fitzsimons (Oblivious AI) gives a high-level introduction to the technologies that can either exploit or protect your data privacy. If you'd like to survey the landscape of data privacy-preserving...
<p>The piranha problem (too many large, independent effect sizes influence the same outcome) has received some attention on Andrew Gelman’s blog. But now it’s a paper! Chris Tosh (Memorial Sloan Kettering) talks about...
<p>Chris Holmes is Professor of Biostatistics at the University of Oxford and Programme Director for Health and Medical Sciences at The Alan Turing Institute. Chris’ research interests include Bayesian nonparametrics...
<p>Philosophy of Data Science Series <br> Keynote with Deborah Mayo<br> Episode 1: Revolutions, Reforms, and Severe Testing in Statistical Thinking</p> <p>In the first keynote of the Philosophy of Data Science Series we...
<p>Charlotte Deane | Bioinformatics, Deepmind's AlphaFold 2, and Llamas<br> #datascience #ai</p> <p>Charlotte Deane (Oxford University) talks about statistical approaches to bioinformatics, the evolution of Google...
<p>Charlotte Deane | Proteomics, AlphaFold 2, and Llamas #datascience #ai</p> <p> Charlotte Deane (Oxford University) talks about statistical approaches to proteomics, the evolution of Google Deedmind's AlphaFold 2 &...
Episode #78
<p>The philosophical community continuously aims to reconcile differing views on first person data and the consciousness of the mind. Is it possible to live without consciousness? Can one conceive thoughts without...
<p>Starting a Statistics Consultancy | Janet Wittes</p> <p>The following interview was a keynote fireside chat with Janet Wittes (Statistics Collaborative, Inc.) titled "Statisticians as Entrepreneurs". It was recorded...
<p>Jingyi Jessica Li | Advancing Statistical Genomics</p> <p>Watch it on…. YouTube Podbean</p> <p>Jingyi Jessica Li (UCLA) describes common statistical pitfalls in genomic data analysis & the statistical reasoning...
<p>Mine Çetinkaya-Rundel | Advancing Open Access Data Science Education<br> #datascience #statistics #education</p> <p>Mine Çetinkaya-Rundel (Duke University) describes the current and future states of statistics and...
Episode #74
<p>Jingyi Jessica Li | Statistical Hypothesis Testing versus Machine Learning Binary Classification</p> <p>Jingyi Jessica Li (UCLA) discusses her paper "Statistical Hypothesis Testing versus Machine Learning Binary...
Recent guests on Data & Science with Glen Wright Colopy. Study who booked and why before you pitch.
worship leader, school of worship director, worship artist, Social Lite Digital Agency
Chair of Literatures in English and Associate Professor at Ithaca College, Buffalo's Queen City Hockey Expo
Professor of Philosophy at UC Riverside, University of California, Riverside
Duke University
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