This program will explore the evolution of data science in the context of public health. What statistical methods are used to shape and inform population health research? Where is the field heading in the next decade and what methodological improvements can we make to strengthen public health research, analysis, and recommendations?

This event is cohosted with the BUSPH Population Health Data Science Program and the Boston University Faculty of Computing and Data Science.

For any questions or accommodation requests, please contact sphevent@bu.edu.

Speakers

  • Melody S. Goodman

    Senior Executive Vice Dean; Professor of Biostatistics, New York University School of Global Public Health

  • Yulin Hswen

    Assistant Professor of Epidemiology and Biostatistics, UCSF School of Medicine

  • Michael R. Kosorok

    W. R. Kenan, Jr. Distinguished Professor of Biostatistics; Professor of Statistics and Operations Research, UNC-Chapel Hill

  • Nathan Lo

    Assistant Professor of Infectious Diseases, Stanford University

  • Daniela M. Witten

    Professor of Statistics and Biostatistics; Dorothy Gilford Endowed Chair of Mathematical Statistics, University of Washington

  • Debbie M. Cheng

    Professor of Biostatistics; Director of the Population Health Data Science Program, Boston University School of Public Health

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