Keith O'Rourke | The Logic of StatisticsDr. Keith O'Rourke talks about the logical reasoning behind statistical modeling. Topics include mathematical vs scientific reasoning, whether science has become too stats focused, and vice versa.Watch

Jack Fitzsimons | Evil Models: Hiding Malware in Neural Networks

Jul 26th, 2022 51m 30s

Jack Fitzsimons | Evil Models: Hiding Malware in Neural NetworksDid you know that it's possible to hide malware in neural networks? Actually, you can hide malware in many statistical models. This is the subject of two recently-published papers

Scott Cunningham | Causal Inference (The Mixtape)

Jul 18th, 2022 1h 20m

Scott Cunningham | Causal Inference (The Mixtape)Scott Cunningham (Baylor University) discusses the ideas of his book "Causal Inference: The Mixtape". Topics include trusting inference in the absence of counterfactuals and the challenges of ap

Eric Daza | Important Ideas in Causal Inference

Jul 11th, 2022 1h 23m

Eric Daza | Important Ideas in Causal InferenceYouTube: https://youtu.be/K5nsSMJVIT0Andrew Gelman and Aki Vehtari wrote a paper titled, "What are the most important statistical ideas of the past 50 years?". The first idea in the list is "c

Wenting Cheng & Weidong Zhang | Advances in Biotech/Biopharma

May 10th, 2022 34m 44s

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.

Ruda Zhang | Gaussian Process Subspace Regression

May 10th, 2022 1h 9m

Ruda Zhang | Gaussian Process Subspace RegressionRuda 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 & adva

Ruda Zhang | Math-Science Duality

Apr 14th, 2022 1h 22m

Ruda Zhang | Math-Science DualityWatch it on...Youtube: https://youtu.be/GoDwen-RGZgPodbean: https://dataandsciencepodcast.podbean.com/e/ruda-zhang-math-science-duality/Statistics is thought to reside at the interface of science and mathema

Simon Mak | Integrating Science into Stats Models

Apr 6th, 2022 1h 19m

Simon Mak | Integrating Science into Stats Models#statistics #science #aiIt’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 p

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

Mar 16th, 2022 1h 16m

Martin Goodson | Practical Data Science & The UK's AI Roadmap#ai #datascience #startupsMartin Goodson (Evolution AI) describes the key aspects of the UK's AI Roadmap & responses to the document by members of the Royal Statistical Society. In

Jack Fitzsimons | Data Security, Privacy, & Artificial Intelligence

Mar 1st, 2022 1h 14m

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 technologies (from someone who's build

Chris Tosh | The piranha problem in statistics

Feb 22nd, 2022 1h 9m

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 multiple views of the piranh

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

Feb 9th, 2022 1h 3m

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 (which is the right kind of no

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

Feb 4th, 2022 53m 57s

Philosophy of Data Science Series Keynote with Deborah MayoEpisode 1: Revolutions, Reforms, and Severe Testing in Statistical ThinkingIn the first keynote of the Philosophy of Data Science Series we have a 2-part interview with Deborah Mayo

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

Feb 1st, 2022 1h 16m

Charlotte Deane | Bioinformatics, Deepmind's AlphaFold 2, and Llamas#datascience #aiCharlotte Deane (Oxford University) talks about statistical approaches to bioinformatics, the evolution of Google Deepmind's AlphaFold 2 & its place in protei

Charlotte Deane | Proteomics, AlphaFold 2, and Llamas

Jan 24th, 2022 1h 16m

Charlotte Deane | Proteomics, AlphaFold 2, and Llamas#datascience #aiCharlotte Deane (Oxford University) talks about statistical approaches to proteomics, the evolution of Google Deedmind's AlphaFold 2 & its place in proteomics' deep learni

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

Dec 2nd, 2021 1h 13m

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 matching images to them? In this

Starting a Statistics Consultancy | Janet Wittes

Nov 22nd, 2021 38m 46s

Starting a Statistics Consultancy | Janet WittesThe following interview was a keynote fireside chat with Janet Wittes (Statistics Collaborative, Inc.) titled "Statisticians as Entrepreneurs". It was recorded for the BBSW 2021 Conference (Nov 3

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

Nov 16th, 2021 1h 22m

Jingyi Jessica Li | Advancing Statistical GenomicsWatch it on…. YouTube PodbeanJingyi Jessica Li (UCLA) describes common statistical pitfalls in genomic data analysis & the statistical reasoning required to correct these mistakes.Co

Mine Çetinkaya-Rundel | Advancing Open Access Data Science Education

Nov 9th, 2021 1h 20m

Mine Çetinkaya-Rundel | Advancing Open Access Data Science Education#datascience #statistics #educationMine Çetinkaya-Rundel (Duke University) describes the current and future states of statistics and data science education. Then she discusse

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

Sep 20th, 2021 55m 55s

Jingyi Jessica Li | Statistical Hypothesis Testing versus Machine Learning Binary ClassificationJingyi Jessica Li (UCLA) discusses her paper "Statistical Hypothesis Testing versus Machine Learning Binary Classification". Jingyi noticed severa

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

Aug 30th, 2021 51m 58s

Gualtiero Piccinini | What Are First-Person Data?First-person methods (and its associated data) have been scientifically and philosophically contentious. Are they pseudoscientific? Or simply pushing the bounds of scientific methodology? Obviou

David Dunson | Advancing Statistical Science | Philosophy of Data Science

Aug 17th, 2021 1h 17m

David Dunson | Advancing Statistical Science | Philosophy of Data Science SeriesA fundamental question in the philosophy of science is "what does it mean to make scientific progress?" We will have a series of episodes centered around this ques

Martin Kuldorff | Spatiotemporal Models of Disease Outbreaks

Aug 3rd, 2021 1h 8m

Note: This conversation was recorded June 25, 2021.Martin Kuldorff | Spatiotemporal Models of OutbreaksMartin Kuldorff (Harvard Medical School) talks about the integration of biological & demographic information (and general reality) in the s

Jason Costello | Data Science vs Software, Academia vs Industry

Jul 19th, 2021 1h 8m

Interested in Data Science? Learn Data Science and Statistics from experts as they cover key topics in the field. The Data & Science podcast focusses on teaching data scientists how to think critically in order to solve data analysis problems a

Eric Daza | N-of-1 Science & Causal Inference | Philosophy of Data Science

Jun 14th, 2021 1h 12m

Interesting in Data Science? Learn Data Science and Statistics from experts as they cover key topics in the field. The Data & Science podcast focusses on teaching data scientists how to think critically in order to solve data analysis problems