Ayaz Hyder, PhD

Associate Professor
Core Faculty, Translational Data Analytics Institute
Environmental Health Sciences

Notice

I am currently on leave from my academic position until July 31, 2026. During this time I am not accepting any new students.

Phone
614-247-4936
Office
380D Cunz Hall, 1841 Neil Ave., Columbus, OH 43210
Ayaz Hyder

“Public health is my life. I get up every morning to carry out the mission of public health in service of all Ohioans. I am passionate about finding solutions to complex public health issues, such as reproductive health, opioid addiction and food insecurity. Currently, public health systems and workforce are in decline due to lack of innovation and systems thinking. We must think anew about how we carry out the mission of public health. I envision a future for public health that is proactive, data-driven, apolitical and grounded in community needs. My contribution towards this vision is to build innovative models and data analytics tools for public health practice in Ohio and beyond.”

Biography

Dr. Hyder connects models to action for public health impact. He helps communities develop models that reflect their values by placing communities at the center of the modeling enterprise. The focal public health issues he addresses are birth and infant outcomes, addiction and food insecurity. Common to these outcomes is the role of social determinants of health, the need for multiple stakeholder engagement and breaking down discipline and data silos to come up with holistic and sustainable interventions.

A novel theme of Dr. Hyder's research is developing strategies for community-centered modeling where models are co-created, personalized and relevant to community needs, and generalizable to other communities.

Education

Research Associate
Health Services Research, University of Toronto, 2013-2015
Postdoctoral training
Environmental Epidemiology, Yale University, 2011-2013
PhD
Biology, McGill University, 2012
BSc
Biology, McMaster University, 2005

Research interests

Systems Science, Agent-Based Modeling, Birth Outcomes/Infant Mortality, Environmental Epidemiology, Air Pollution, Citizen Science, Opioid epidemic, Food insecurity, Smart Cities, Health Economics

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