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foundation-frontiers/posts/2026/04/02/neil-lawrence-interview.qmd

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 title: "Inside 'RSS: Data Science and Artificial Intelligence' with Neil Lawrence"
 description: "The Editor-in-Chief of the Royal Statistical Society’s new journal discusses its vision and breaks down the first position paper."
-date: 2026-04-02
+date: 2026-04-10
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 author: Annie Flynn
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   - Ethics
   - Uncertainty
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 Real World Data Science recently had the opportunity to sit down with [Professor Neil Lawrence](https://www.cst.cam.ac.uk/people/ndl21), Editor-in-Chief of the Royal Statistical Society’s new journal, [RSS: Data Science and Artificial Intelligence](https://academic.oup.com/rssdat). Neil, who is the DeepMind Professor of Machine Learning at the University of Cambridge, a Senior AI Fellow at the [Alan Turing Institute](https://www.turing.ac.uk/), and a Visiting Professor at the University of Sheffield, is a leading voice in machine learning and AI. He has previous experience as Director of Machine Learning at Amazon and research interests spanning probabilistic models and real-world applications in health and developing economies. He is also passionate about public engagement—he co-hosts the [Talking Machines](https://www.thetalkingmachines.com/) podcast and is the author of [The Atomic Human](https://www.penguin.co.uk/books/455130/the-atomic-human-by-lawrence-neil-d/9781802062106).