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Leadership at the Intersection of Statistics & Genomics: A COPSS-NISS Leadership Webinar with Drs. Rafael Irizarry and Mingyao Li

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  • Jingyi Jessica Li

    (University of California
    University of California
    University of California
    University of California)

Abstract

In a COPSS-NISS webinar focused on leadership at the intersection of statistics and genomics, esteemed panelists Drs. Rafael Irizarry and Mingyao Li shared their leadership journeys and provided insights into this interdisciplinary field to inspire future leaders. They discussed the value of statistics in distinguishing signal from noise in the artificial intelligence (AI) era, the strengths of statisticians in ensuring rigor and robustness in genomics research, and the trade-offs between model expressiveness and interpretability. Additionally, they offered advice on how junior faculty can seek collaborations and increase their visibility, balance staying current with technological advancements, while developing methods carefully and thoroughly, and best practices for collaborating with domain experts. The recording of the webinar is available at https://www.youtube.com/watch?v=t6SsAoh95ig .

Suggested Citation

  • Jingyi Jessica Li, 2024. "Leadership at the Intersection of Statistics & Genomics: A COPSS-NISS Leadership Webinar with Drs. Rafael Irizarry and Mingyao Li," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 16(3), pages 547-555, December.
    • Handle: RePEc:spr:stabio:v:16:y:2024:i:3:d:10.1007_s12561-024-09455-4
    DOI: 10.1007/s12561-024-09455-4
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    References listed on IDEAS

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    1. Smyth Gordon K, 2004. "Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 3(1), pages 1-28, February.
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