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 nonparametrics), statistical machine learning, genomics, and genetic epidemiology.
0:00 - Intro
1:38 - Chris Holmes, Professor of Biostatistics at Oxford University
3:28 - UK Biobank & designing a valuable dataset
8:42 - Healthcare charities in the UK
11:16 - Digital Health: prioritizing research questions
19:55 - Bayes, nonparametrics, and Bayesian nonparametrics
23:30 - Model prediction is at the heart of Bayesian inference
28:00 - Prioritization in model building for biology
33:09 - Model constraints to generate valid inference
37:34 - Hypothesis driven science in statistical learning versus deep learning
43:30 - Developing models in genomics & clinical informatics
48:37 - Building stable, generalizable and robust models
52:41 - Important questions to think about
54:05 - Causal reasoning and clinical risk prediction
57:50 - What topic should the statistical community debate?
Keith O’Rourke | The Logic of Statistics
Jack Fitzsimons | Evil Models: Hiding Malware in Neural Networks
Scott Cunningham | Causal Inference (The Mixtape)
Eric Daza | Important Ideas in Causal Inference
Wenting Cheng & Weidong Zhang | Advances in Biotech/Biopharma
Ruda Zhang | Gaussian Process Subspace Regression
Ruda Zhang | Math-Science Duality
Simon Mak | Integrating Science into Stats Models
Martin Goodson | Practical Data Science & The UK’s AI Roadmap
Jack Fitzsimons | Data Security, Privacy, & Artificial Intelligence
Chris Tosh | The piranha problem in statistics
Philosophy of Data Science | Deborah Mayo | Revolutions, Reforms, and Severe Testing in Statistical Thinking
Charlotte Deane | Bioinformatics, Deepmind’s AlphaFold 2, and Llamas
Eric Schwitzgebel | Consciousness, Zombies, & First Person Data | Philosophy of Data Science
Starting a Statistics Consultancy | Janet Wittes
Philosophy of Data Science | Jingyi Jessica Li | Advancing Statistical Genomics
Mine Çetinkaya-Rundel | Advancing Open Access Data Science Education
Jingyi Jessica Li | Statistical Hypothesis Testing vs Machine Learning Binary Classification
Gualtiero Piccinini | What Are First-Person Data? | Philosophy of Data Science
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