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Population Health Faculty and Research

The College of Health Solutions aims to discover approaches to maintaining and improving the health of entire populations and reducing inequalities in health between groups of people.  We use a multidisciplinary approach blending the disciplines of public health/health promotion, biomedical informatics, health economics, nutrition, exercise science, and health care delivery to achieve new discoveries. We also employ a multi-level strategy with studies focused on individuals, social networks, communities, institutions, policies, systems, and environments to better understand the determinants of health.

A few examples of our work include:

  • Development of gender-specific and culturally-tailored healthy lifestyle interventions for racial/ethnic minority men
  • Examination of the strength and shape of relationships between environmental characteristics and physical activity, dietary patterns, and obesity
  • Applying patient-centered and systems engineering approaches to improve access to care for those in greatest need (poor, uninsured or underinsured)
  • Exploring behavioral economics and incentive structures to transform health care delivery and disease management
  • Nutritional strategies to enhance cardiometabolic health and the prevention and management of chronic disease

Faculty

Name
Mac McCullough
Asst Professor

Mac McCullough's research involves quantifying investments in public health and social services and assessing how these investments are put to use in order to improve population health.

602-496-0203
Punam Ohri-Vachaspati
Professor

Ohri-Vachaspati is a professor of nutrition and leads the ASU Food Environment and Policy research group. In 2017, she completed the RWJF Health Policy Fellowship working in Senator Gillibrand’s office in Washington DC.

602-827-2270
  
Swapna Reddy
Clinical Asst Professor (FSC)

Swapna Reddy’s primary research interests are how law and policy can be utilized as tools to improve population health outcomes, reduce health disparities and inequities.

George Runger
Chair (FSC) & Professor

George Runger researches analytical methods for knowledge generation and data-driven improvements in organizations, including machine learning for large, complex data, and real-time analysis.

480-884-0225
  
Ann Sebren
Principal Lecturer MY
602-496-1851
  

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