Dr. Cannell an epidemiologist, gerontologist, data scientist, and associate professor at the University of Texas Health Science Center School of Public Health. He is passionate about researching healthy aging and late-life quality of life, and applying that understanding to improving the health of older adults and communities. Specifically, he has published research focusing on the preservation of physical and cognitive function, living and aging with disability, and detecting and preventing elder mistreatment. He also has a passion for data science and digital epidemiology. He’s committed to the idea of learning about – and positively impacting – health outcomes using a data-driven approach. His expertise includes scientific writing – he has published more than 30 peer-reviewed journal articles, two textbook chapters, and one textbook; grant writing – he has secured more than $14 million in grant funding for research; project management – he has been the principal or co-investigator on multiple trials and observational studies in community and healthcare settings; teaching – he has taught 8 different courses at 3 different universities; public speaking – he has given numerous presentations and trainings; and data science – he is fluent in all major statistical programming languages.

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Interests
  • Epidemiology
  • Healthy Aging
  • Data Science
  • R programming
Education
  • PhD - Epidemiology, 2013

    University of Florida

  • MPH - Epidemiology, 2009

    University of Louisville

  • BA - Interdisciplinary (Political Science / Marketing), 2005

    University of North Texas

  • Graduate Certificate - Big Data and Social Analytics, 2016

    Massachusetts Institute of Technology

  • Graduate Certificate - Predictive Analytics, 2016

    University of Maryland University College

  • Graduate Certificate - Gerontology, 2013

    University of Florida

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