Data Science for Public Health Summit
We are pleased to host the 2025 Data Science for Public Health Summit at the Columbia Mailman School of Public Health. On January 31, 2025, we will feature a Keynote address, “Statistical opportunities to improve healthcare: analytic infrastructure, Bayesian hierarchical models, and major challenges,” from Scott L. Zeger, PhD, John C. Malone Professor, Johns Hopkins Bloomberg School of Public Health. Dr. Scott Zeger co-directs the Hopkins inHealth program, a university-wide collaboration to use medical data more intelligently to improve health outcomes and lower costs.
January 31, 2025
In-Person Event
Columbia Mailman School of Public Health
50 Haven Avenue, Main Lounge, New York, NY 10032
This event is open to Columbia University Faculty, Postdocs, and Students.
Co-sponsored by the Data Science Institute at Columbia University.
Agenda:
8:00 a.m. Breakfast and Check-In
50 Haven Avenue, Main Lounge
Continental breakfast available for attendees.
9:00 a.m. Welcome: Public Health in Data Science
Linda P. Fried, MD, MPH, Dean and DeLamar Professor, Columbia Mailman School of Public Health
Jeannette M. Wing, PhD, Executive Vice President for Research, Professor of Computer Science, Columbia University
Garud N. Iyengar, PhD, Professor of Industrial Engineering and Operations Research; Avanessians Director of the Data Science Institute
9:20 a.m. Keynote Presentation: Statistical opportunities to improve healthcare: analytic infrastructure, Bayesian hierarchical models, and major challenges
Scott L. Zeger, PhD, John C. Malone Professor of Biostatistics and Medicine, Johns Hopkins Bloomberg School of Public Health and School of Medicine
10:45 a.m. Session 1: Advances in Pandemic Preparedness
Moderator:
Wafaa El-Sadr, MD, MPH, MPA, Director, ICAP at Columbia University, Lead, NYC Pandemic Response Institute
Speakers:
Gretchen Van Wye, PhD, Deputy Director and Chief Epidemiologist in the Center for Population Health Data Science, DOHMH
Jeffrey Shaman, PhD, Professor of Environmental Health Sciences, Columbia Mailman School of Public Health and Professor of Climate, Climate School
Sam Sia, PhD, Professor of Biomedical Engineering, Vice Provost for the Fourth Purpose and Strategic Impact, Columbia University
12:00 p.m. Networking Lunch
Sandwiches, salads, and pasta available for attendees.
1:15 p.m. Session 2: Data Science in Climate and Health
Moderator:
Marianthi-Anna Kioumourtzoglou, ScD, Associate Professor of Environmental Health Sciences, Columbia Mailman School of Public Health
Speakers:
Donald E. Edmondson, PhD, MPH, Director, Center for Behavioral Cardiovascular Health, Columbia University Irving Medical Center
Oren Pizmony-Levy, PhD, Associate Professor of International and Comparative Education at Teachers College, Columbia University
Tian Zheng, PhD, Professor of Statistics & Department Chair, Columbia University
2:45 p.m. Networking Break
3:00 p.m. Session 3: LLMs in Public Health and Society
Moderator:
Ying Wei, PhD, Professor of Biostatistics, Columbia Mailman School of Public Health
Speakers:
Wenpin Hou, PhD, Assistant Professor of Biostatistics, Columbia Mailman School of Public Health
Gamze Gürsoy, PhD, Assistant Professor of Biomedical Informatics, Columbia University Irving Medical Center
Andrew G. Rundle, DrPH, Professor of Epidemiology, Columbia University Irving Medical Center
4:30 p.m. Closing Remarks
Gary W. Miller, PhD, Vice Dean for Research Strategy and Innovation and Professor of Environmental Health Sciences, Columbia Mailman School of Public Health
5:00 p.m. Reception
Light bites and dessert available for attendees.
6:00 p.m. Event Adjourns
We value inclusion and access for all participants and are pleased to provide reasonable accommodations for individuals with disabilities. If you require disability accommodation to attend this event, please contact disability@columbia.edu(link sends e-mail) no later than 10 days prior to event date. We will work with our colleagues at Disability Services to fulfill requests made after this date, but cannot guarantee they will be met.