Machine Learning in Population Health: Challenges & Opportunities with Rumi Chunara

November 02
12-1pm
BMC Hiebert Lounge, 72 East Concord Street, 14th Floor, Boston University, Boston / Online

Hosted by the Boston University Rafik B. Hariri Institute for Computing and Computational Science & Engineering

Join GPH's Dr. Rumi Chunara at Boston University as part of the Health Data Science Distinguished Speaker Series. 

Population and public health sciences illustrate the social, cultural, economic, and other factors at individual, community, organizational, and policy levels that drive health and quality of life and are all often complicated by power dynamics and discrimination. When attempting to quantify these complex concepts through data and statistical analyses, we encounter both promising opportunities to enrich our theoretical frameworks and significant challenges that can exacerbate disparities. In this seminar, Dr. Chunara will illustrate example areas situated at this nexus. Overall, this talk aims to inspire approaches to quantitative studies that are grounded in and incorporate theoretical and qualitative knowledge.

About the Speaker:
Dr. Rumi Chunara is Associate Professor of Biostatistics, and Director of Center for Health Data Science at the NYU GPH. The overarching goal of her research is to develop computational and statistical approaches for acquiring, integrating and using data to improve population-level public health. She focuses on the design and development of data mining and machine learning methods to address challenges related to data and goals of public health, as well as fairness and ethics in the design and use of data and algorithms embedded in social systems.

This is event is co-sponsored by the SPH Population Health Data Science Program, the Hariri Institute for Computing and Computational Science & Engineering, the SPH Department of Biostatistics, and the Providence/Boston Center for AIDS Research (CFAR).