Leadership in Linking Statistical Theory and Scientific Inquiry: A COPSS-NISS Leadership Webinar with Drs. Michael Kosorok and Daniela Witten

In a COPSS-NISS Leadership Webinar on bridging statistical theory and scientific inquiry, panelists Dr. Michael Kosorok and Dr. Daniela Witten shared their leadership journeys, providing insights and guidance on how statisticians can navigate the evolving intersection of theoretical and applied research. They discussed the challenges and opportunities in balancing methodological innovation with real-world impact, offering practical advice for researchers, especially in their junior stage. In this article, we summarize the key takeaways and highlights from their discussion.

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Publication Details

Journal
Statistics in Biosciences
Published
2025-09-10
DOI
https://doi.org/10.1007/s12561-025-09504-6
Primary Topic
Statistics Education and Methodologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Leadership in Linking Statistical Theory and Scientific Inquiry: A COPSS-NISS Leadership Webinar with Drs. Michael Kosorok and Daniela Witten

Anru R. Zhang
Statistics in Biosciences
Statistics Education and Methodologies
article

Leadership in Linking Statistical Theory and Scientific Inquiry: A COPSS-NISS Leadership Webinar with Drs. Michael Kosorok and Daniela Witten

Anru R. Zhang
article en

Abstract

In a COPSS-NISS Leadership Webinar on bridging statistical theory and scientific inquiry, panelists Dr. Michael Kosorok and Dr. Daniela Witten shared their leadership journeys, providing insights and guidance on how statisticians can navigate the evolving intersection of theoretical and applied research. They discussed the challenges and opportunities in balancing methodological innovation with real-world impact, offering practical advice for researchers, especially in their junior stage. In this article, we summarize the key takeaways and highlights from their discussion.

Statistics in Biosciences
Duke University (US)
Microsoft Research, Brown University, Emory University, University of California, Los Angeles
Openalex Percentile: Top 77%
Statistics Education and Methodologies
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