Overview
Join us for the COPSS-NISS Leadership Webinar exploring how leaders in translational statistics and machine learning collaborate with clinical teams. This session highlights practical strategies for connecting analytical methods with real-world clinical needs. Participants will gain insights into leadership approaches that strengthen interdisciplinary partnership and impact.
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Panelists
Moderator
Dr. Irina Gaynanova, Associate Professor, Department of Biostatistics, University of Michigan
About the Panelists
Maya L. Petersen, MD, PhD is Professor of Biostatistics and Epidemiology (UC Berkeley) and of Computational Precision Health (UCSF and UC Berkeley), the co-Director of the UCSF-UC Berkeley Joint Program in Computational Precision Health, and the co-Director of UC Berkeley’s Center for Targeted Machine Learning and Causal Inference. Dr. Petersen’s methodological research sits at the intersection of AI, statistical inference, and causal inference, with an emphasis on complex observational and experimental data, individualized treatment strategies, and study designs that adapt to incoming data. She uses these methods to learn better ways to deliver healthcare, both globally and domestically, and leads randomized trials and observational evaluations to deploy these insights and quantify their impact. Dr. Petersen holds an AB from Stanford University in Human Biology, a PhD from UC Berkeley in Biostatistics, and an MD from UCSF. She has more than 200 peer-reviewed publications and has led multiple NIH and foundation grants, including the Sustainable East Africa Research in Community Health consortium. Dr. Petersen has received multiple awards, including a Howard Hughes Medical Institute Pre-doctoral award, a Doris Duke Clinical Scientist Development award, and a national teaching award from the American Statistical Association. In 2021, Mayor London Breed named June 18 “Maya Petersen Day” in San Francisco in acknowledgement of her services to the COVID-19 pandemic response. See Profile
Dr. Jenna Wiens is an Associate Professor of Computer Science and Engineering (CSE), the Associate Director of the Artificial Intelligence (AI) Lab , and the co-Director of AI & Digital Health Innovation at the University of Michigan in Ann Arbor. She currently heads the MLD3: Machine Learning for Data-Driven Decisions research group. Her primary research interests lie at the intersection of machine learning (ML), artificial intelligence (AI), and healthcare. She takes a use-inspired approach to research, where she studies real-world problems through a technical lens. In close collaboration with domain experts and clinicians, her work has resulted in the successful integration of ML models developed by her research group into clinical workflows that have had a positive impact on patient care. To find out more about her research interests and what her group is currently working on, please follow the "Research" link above. She received her PhD in 2014 from MIT, where she worked with Prof. John Guttag in the Computer Science and Artificial Intelligence Lab (CSAIL). Her PhD research focused on developing accurate patient risk-stratification approaches that leverage spatiotemporal patient data, with the ultimate goal of discovering information that can be used to reduce the incidence of healthcare-associated infections. In 2015 she was named Forbes 30 under 30 in Science and Healthcare; she received an NSF CAREER Award in 2016; in 2017 she was named to the MIT Tech Review's list of 35 Innovators Under 35; she received a Sloan Fellowship in Computer Science in 2020; and in 2024 she received the Carl Friedrich von Siemens Humboldt Research Award in recognition of her career accomplishments. See Profile
About the Moderator
Dr. Irina Gaynanova is an Associate Professor in the Department of Biostatistics at the University of Michigan. She received her PhD in Statistics from Cornell University in 2015. Dr. Gaynanova’s teaching emphasizes reproducible research practices, statistical computing, and communication skills to prepare students for STEM careers. Her research focuses on developing statistical methods for analyzing high-dimensional biomedical data. Her methodological interests include data integration, machine learning, and high-dimensional statistics, driven by challenges in multi-omics analyses and wearable device data, particularly continuous glucose monitors. Her research has been funded by the National Science Foundation and the National Institutes of Health, and she served on the editorial boards of the Annals of Applied Statistics, Biometrika, Data Science in Science, the Journal of the American Statistical Association, and the Journal of Computational and Graphical Statistics. Her contributions to research, teaching, mentorship, and service have been recognized with a David P. Byar Young Investigator Award, an NSF CAREER Award, elected membership to the International Statistical Institute, the IMS Thelma and Marvin Zelen Emerging Women Leaders in Data Science Award and the COPSS Emerging Leader 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
- NISS Sponsored
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