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“数字+”与统计数据工程系列讲座(第103讲)7月12日耶鲁大学张和平教授来我院讲座预告
发布日期:2025-07-08 阅读:10

题目:Empowering Statistics in Research – A Personal Perspective

报告人:张和平

会议时间:2025年7月12日(周六)  15: 30

地点:综合楼644会议室

报告人简介:

Heping Zhang, Ph.D., is Susan Dwight Bliss Professor of Biostatistics at Yale School of Public Health, Professor in the Child Study Center and Professor of Obstetrics, Gynecology, and Reproductive Sciences at Yale School of Medicine (secondary), and Professor of Statistics and Data Science at Yale University (secondary). He has founded and been directing the Collaborative Center for Statistics in Science at Yale. He is a fellow of the American Statistical Association and the Institute of Mathematical Statistics (IMS). He is the founding Editor-in-Chief of Statistics and Its Interface and a former editor of the Journal of the American Statistical Association (JASA) – Applications and Case Studies. He was a recipient of 2008 Myrto Lefkopoulou Distinguished Lecture of Harvard School of Public Health, 2011 IMS Medallion Lecture and Award and 2022 Neyman Lecture and Award, 2023 Distinguished Achievement Award by the International Chinese Statistical Association, and 2023 Highly Cited Researcher by the Web of Science.

报告摘要:

 The advent of technology has led to an explosion of large-scale and diverse data, including text, images, and omics data. Addressing the challenges arising from analyzing such data has garnered significant attention and generated both excitement and uncertainty within the statistical community, especially regarding our role in the evolving landscape of data science. In this talk, I will begin by highlighting historical dilemmas that might have hindered broader recognition of statistical contributions, then share personal experiences to illustrate ongoing challenges we face. I will conclude by suggesting strategies to bridge the gap between methodological innovation and real-world application, and how doing so can strengthen the visibility and impact of statistical science. I caution that this talk reflects my personal opinion only.


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