Join us for an insightful webinar exploring the role of leadership in bridging statistical theory with scientific inquiry. This event, co-hosted by COPSS and NISS, brings together distinguished leaders in statistics and data science to discuss the critical intersections of theory, research, and practice. Attendees will gain valuable perspectives on how statistical methodologies drive innovation and shape scientific progress across various disciplines. This is a must-attend event for statisticians, researchers, and professionals looking to enhance their leadership and impact in the field.
Speakers
Dr. Michael Kosorok (Department of Biostatistics and Department of Statistics & Operations Research, University of North Carolina at Chapel Hill)
Dr. Daniela Witten (Department of Statistics and Department of Biostatistics, University of Washington)
Moderator
Dr. Anru Zhang (Department of Biostatistics & Bioinformatics and Department of Computer Science, Duke University)
About the Speakers
Michael R. Kosorok, PhD, is the W.R. Kenan, Jr. Distinguished Professor of Biostatistics, Professor of Statistics and Operations Research, and Director of the Gillings School Center for AI and Public Health, at the University of North Carolina at Chapel Hill. He develops statistical and AI tools for precision health and has written a text on the theoretical foundations of this and related areas, "Introduction to Empirical Processes and Semiparametric Inference" (2008, Springer), and co-edited with Erica E.M. Moodie the monograph "Adaptive Treatment Strategies in Practice: Planning Trials and Analyzing Data for Personalized Medicine" (2016, ASA-SIAM). He received the COPSS Snedecor Award in 2023 and the ASA Noether Distinguished Scholar Award in 2019. He was also guest editor for the Journal of the American Statistical Association, Theory and Method Section, Special Issue on Precision Medicine (2021). He is currently past-president of the Institute of Mathematical Statistics. In addition to working as a statistician, he composes classical music.
Daniela Witten, PhD, is a professor of Statistics and Biostatistics at University of Washington, and the Dorothy Gilford Endowed Chair in Mathematical Statistics. She develops statistical machine learning methods for high-dimensional data, with a focus on unsupervised learning. Daniela is the recipient of an NIH Director's Early Independence Award, a Sloan Research Fellowship, an NSF CAREER Award, and a Simons Investigator Award in Mathematical Modeling of Living Systems. She received the Presidents’ Award from the Committee of Presidents of Statistical Societies (COPSS), awarded annually to a statistician under age 41 in recognition of outstanding contributions to the field of statistics. She also received the Spiegelman Award from the American Public Health Association for a statistician under age 40 who has made outstanding contributions to statistics for public health, and the Leo Breiman Award for contributions to the field of statistical machine learning. She is a Fellow of the American Statistical Association and the Institute for Mathematical Statistics, and an Elected Member of the International Statistical Institute. Daniela is a co-author (with Gareth James, Trevor Hastie, and Rob Tibshirani) of the very popular textbook "Introduction to Statistical Learning". She has served as an Associate Editor for Biometrika, Journal of Computational and Graphical Statistics, and Journal of the American Statistical Association, and as an Action Editor for Journal of Machine Learning Research. Since 2023, she serves as Joint Editor of Journal of the Royal Statistical Society, Series B. Daniela completed a BS in Math and Biology with Honors and Distinction at Stanford University in 2005, and a PhD in Statistics at Stanford University in 2010.
About the Moderator
Anru Zhang is the Eugene Anson Stead, Jr. M.D. Associate Professor in the Department of Biostatistics & Bioinformatics and an Associate Professor in the Department of Computer Science at Duke University. He also serves as the Associate Chair for Research in the Department of Biostatistics & Bioinformatics at Duke University. Anru received his Bachelor's degree from Peking University in 2010 and his Ph.D. from the University of Pennsylvania in 2015. His research focuses on high-dimensional statistical inference, tensor learning, generative models, and applications in electronic health records, genomics, and microbiome studies. Anru has received numerous awards, including the NSF CAREER Award, ASA Gottfried E. Noether Junior Award, IMS Tweedie Award, and COPSS Emerging Leader Award. Two of his Ph.D. students have also been recognized with the IMS Lawrence D. Brown Ph.D. Student Award.
About the COPSS-NISS Leadership Webinar Series
COPSS (Committee of the Presidents of Statistical Societies) and NISS have come together to organize and host a new webinar series focusing on leadership in statistics and data science. Plan to attend these webinars every month during the academic year! Visit the COPSS-NISS Leadership Series Page for previous webinars.
The COPSS-NISS Leadership Webinar Series is co-organized by the Committee of the Presidents of Statistical Societies (COPSS) Emerging Leaders in Statistics and the National Institute of Statistical Sciences (NISS). The purpose of the webinar series is to promote leadership skills for members of the statistical societies at any stage in their careers. The series features conversations with leaders throughout the discipline, including leaders from major academic and government institutions, and companies. Invited speakers share their leadership stories and answer questions about their experiences. Each webinar is moderated by a member of the COPSS Emerging Leaders in Statistics program.
Access the Full COPSS-NISS Leadership Webinar Series YouTube Playlist | COPSS-NISS Leadership Webinar Series: https://www.youtube.com/playlist?list=PLoRtupvDJTjvFukMcO6NfDr0GvxDsIj81
Event Type
- NISS Hosted