UW Data Science Seminar: Ali Mokdad


4:00 pm – 5:00 pm

Please join us for a UW Data Science Seminar event on Thursday, January 26th from 4:00 to 4:50 p.m. PST. The seminar will feature Ali Mokdad, PhD, Chief Strategy Officer at UW Population Health. The UW’s Population Health Initiative and eScience Institute welcome you to our joint seminar series which brings together thought-leading speakers and researchers from across campus to explore diverse applications of data science to pressing topics in population health.

Use this zoom link to join – please note the earlier start time at 4:00 p.m.

This hybrid event will take place over zoom and in the Hans Rosling Center for Population Health, conference room 101.

There will be a 30-minute reception in the conference room following the seminar presentation.

Please RSVP if you are joining.


“Measuring the Global Burden of Disease (GBD) and Disparities Across Various Health Conditions”

Abstract: Dr. Mokdad summarizes the history, analytical principles, and methods underlying the Global Burden of Disease Study. This seminar describes the work and results of a collaboration with NIH to estimate disease burden at the county level by race/ethnicity and socioeconomic status. Dr. Mokdad will discuss drivers of health disparities.

Biography: Ali H. Mokdad, PhD, is Professor of Health Metrics Sciences at the Institute for Health Metrics and Evaluation (IHME) and Chief Strategy Officer for Population Health at the University of Washington. Prior to IHME, Dr. Mokdad worked at the US Centers for Disease Control and Prevention. He has published groundbreaking research on local-level disease trends and leading risk factors for poor health. His work on obesity is among the most highly cited in the field.


The UW Data Science Seminar is an annual lecture series at the University of Washington that hosts scholars working across applied areas of data science, such as the sciences, engineering, humanities and arts along with methodological areas in data science, such as computer science, applied math and statistics. Our presenters come from all domain fields and include occasional external speakers from regional partners, governmental agencies and industry.

The 2022-2023 seminars will be virtual, and are free and open to the public.