Data & Science with Glen Wright Colopy

Keith O’Rourke | The Logic of Statistics

Keith O'Rourke | The Logic of Statistics Dr. Keith O'Rourke talks about the logical reasoning behind statistical modeling. Topics include mathematical vs scientific reas

Jack Fitzsimons | Evil Models: Hiding Malware in Neural Networks

Jack Fitzsimons | Evil Models: Hiding Malware in Neural Networks Did you know that it's possible to hide malware in neural networks? Actually, you can hide malware in ma

Scott Cunningham | Causal Inference (The Mixtape)

Scott Cunningham | Causal Inference (The Mixtape) Scott Cunningham (Baylor University) discusses the ideas of his book "Causal Inference: The Mixtape". Topics include tru

Eric Daza | Important Ideas in Causal Inference

Eric Daza | Important Ideas in Causal Inference YouTube: https://youtu.be/K5nsSMJVIT0 Andrew Gelman and Aki Vehtari wrote a paper titled, "What are the most important s

Wenting Cheng & Weidong Zhang | Advances in Biotech/Biopharma

Wenting and Weidong discuss how the statistical challenges in the biopharm industry have proliferated with the unique demands of biotech and related life science industri

Ruda Zhang | Gaussian Process Subspace Regression

Ruda Zhang | Gaussian Process Subspace Regression Ruda Zhang (Duke University) walks us through "Gaussian Process Subspace Regression for Model Reduction" by Zhang, Mak,

Ruda Zhang | Math-Science Duality

Ruda Zhang | Math-Science Duality Watch it on... Youtube: https://youtu.be/GoDwen-RGZg Podbean: https://dataandsciencepodcast.podbean.com/e/ruda-zhang-math-science-duali

Simon Mak | Integrating Science into Stats Models

Simon Mak | Integrating Science into Stats Models #statistics #science #ai It’s a common dictum that statisticians need to incorporate domain knowledge into their modeli

Martin Goodson | Practical Data Science & The UK’s AI Roadmap

Martin Goodson | Practical Data Science & The UK's AI Roadmap #ai #datascience #startups Martin Goodson (Evolution AI) describes the key aspects of the UK's AI Roadmap

Jack Fitzsimons | Data Security, Privacy, & Artificial Intelligence

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 l

Chris Tosh | The piranha problem in statistics

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!  Chri

Chris Holmes | AI, Digital Health, & The Alan Turing Institute

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’ researc

Philosophy of Data Science | Deborah Mayo | Revolutions, Reforms, and Severe Testing in Statistical Thinking

Philosophy of Data Science Series  Keynote with Deborah Mayo Episode 1: Revolutions, Reforms, and Severe Testing in Statistical Thinking In the first keynote of the Phil

Charlotte Deane | Bioinformatics, Deepmind’s AlphaFold 2, and Llamas

Charlotte Deane | Bioinformatics, Deepmind's AlphaFold 2, and Llamas #datascience #ai Charlotte Deane (Oxford University) talks about statistical approaches to bioinform

Eric Schwitzgebel | Consciousness, Zombies, & First Person Data | Philosophy of Data Science

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 consciou

Starting a Statistics Consultancy | Janet Wittes

Starting a Statistics Consultancy | Janet Wittes The following interview was a keynote fireside chat with Janet Wittes (Statistics Collaborative, Inc.) titled "Statistic

Philosophy of Data Science | Jingyi Jessica Li | Advancing Statistical Genomics

Jingyi Jessica Li | Advancing Statistical Genomics Watch it on….    YouTube       Podbean Jingyi Jessica Li (UCLA) describes common statistical pitfalls in genomic data

Mine Çetinkaya-Rundel | Advancing Open Access Data Science Education

Mine Çetinkaya-Rundel | Advancing Open Access Data Science Education #datascience #statistics #education Mine Çetinkaya-Rundel (Duke University) describes the current an

Jingyi Jessica Li | Statistical Hypothesis Testing vs Machine Learning Binary Classification

Jingyi Jessica Li | Statistical Hypothesis Testing versus Machine Learning Binary Classification Jingyi Jessica Li  (UCLA) discusses her paper "Statistical Hypothesis Te

Gualtiero Piccinini | What Are First-Person Data? | Philosophy of Data Science

Gualtiero Piccinini | What Are First-Person Data? First-person methods (and its associated data) have been scientifically and philosophically contentious. Are they pseud