Ayaz Hyder

Assistant Professor, Environmental Health Sciences & Translational Data Analytics

Dr. Hyder's research focuses on understanding the role of multiple determinants of human health (environment, social, biology) operating at multiple levels (individual, neighborhood, regional). He uses mathematical and computational approaches (e.g. systems science methods) to bring together theory, data and methods from multiple disciplines. His past projects included a microsimulation model for esophageal cancer and cost-effectiveness analysis, satellite-based air pollution exposure assessment and birth outcomes, residential mobility patterns among pregnant women, and predictive validation of agent-based models for influenza.

Current areas of research include complex systems modeling to predict childhood asthma, integrating complex models of residential segregation and poverty traps, and predictive modeling of preterm birth to reduce environmental health disparities and optimize health care utilization. If these projects excite you, then please contact Dr. Hyder for postdoc and graduate student opportunities.

Research Interests

  • Computational epidemiology
  • Environmental health
  • Birth outcomes
  • Cancer
  • Asthma
  • Prediction and model validation
  • Big Data methods

Dr. Hyder is a faculty mentor within STEAM's Interdisciplinary Postdoctoral Research Program

  • 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
Ayaz Hyder
College of Public Health
The Ohio State University