Open Access
February 2024 In Conversation with Sir David Spiegelhalter and Professor Sylvia Richardson
Bhramar Mukherjee
Author Affiliations +
Statist. Sci. 39(1): 209-220 (February 2024). DOI: 10.1214/23-STS897

Abstract

Sir David Spiegelhalter and Professor Sylvia Richardson are two eminent statisticians of our time who have made pioneering contributions to Statistics and Data Science with careers spanning over more than four decades. They have a long and celebrated legacy built through foundational research in Bayesian statistics, impactful collaborations, steadfast professional service and superb scientific communications. They have won many prestigious awards and recognitions throughout their distinguished careers. During my sabbatical in 2022 at the University of Cambridge I had the honor of sitting down for a conversation with these two remarkable individuals. We discussed early career influences and digressions, research philosophy, role of mentors and advice for the future generation. We hope this conversation with David and Sylvia will inspire many future statisticians.

Version Information

The current online version of this article, posted on 7 March 2024, supersedes the previous publication version posted on 18 February 2024. The change is as follows:

The caption of Figure 3 has been updated to: Imperial College Biostatistics group in Spring 2012. Photo taken at the occasion of Sylvia’s leaving drinks. From left to right: Nicky Best, Lea Fortunato, Georgios Papageorgiou, Leonardo Bottolo, SR, Marta Blangiardo, Silvia Liverani, Alexina Mason, Yingbo Wang, Guangquan (Philip) Li.

Citation

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Bhramar Mukherjee. "In Conversation with Sir David Spiegelhalter and Professor Sylvia Richardson." Statist. Sci. 39 (1) 209 - 220, February 2024. https://doi.org/10.1214/23-STS897

Information

Published: February 2024
First available in Project Euclid: 18 February 2024

Digital Object Identifier: 10.1214/23-STS897

Keywords: Bayesian statistics , Imperial College , Markov chain Monte Carlo , Medical Research Council , Royal Statistical Society , scientific communication , University of Cambridge

Rights: Copyright © 2024 Institute of Mathematical Statistics

Vol.39 • No. 1 • February 2024
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