Brad Cannell is an epidemiologist and gerontologist with 11 years of professional experience, currently serving as Professor and Associate Dean for Research at TCU and an Associate Professor at McGovern Medical School. He has led multiple federally funded studies, securing over $30 million and screening more than 90,000 older adults for potential mistreatment through projects like DETECT. An accomplished scholar with 50+ peer-reviewed publications, a textbook, and chapters, he blends rigorous epidemiologic methods with data science and predictive analytics training. His work spans grant development, large-scale project management, and translating findings into practical clinical and community interventions to improve late-life quality of life. Beyond academia, Brad’s background includes military service as an Army Cavalry Scout and Environmental Science Officer, reflecting a capacity for disciplined leadership and field-based public health work. He is known for teaching across institutions and for making complex statistical methods accessible to practitioners who identify and address elder abuse.
11 years of coding experience
16 years of employment as a software developer
Graduate Certificate, Predictive Analytics, Graduate Certificate, Predictive Analytics at University of Maryland University College
Master of Public Health (MPH), Epidemiology, Master of Public Health (MPH), Epidemiology at University of Louisville
Bachelor of Arts (BA), Political Science / Marketing, Bachelor of Arts (BA), Political Science / Marketing at University of North Texas
Doctor of Philosophy (PhD), Epidemiology, Doctor of Philosophy (PhD), Epidemiology at University of Florida
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Github Skills (56)
aps10
r-package10
r10
data-manipulation10
categorical-data10
data-management10
grammar10
dplyr10
data-visualization10
data-analysis10
microsoft-word9
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kable8
rmarkdown8
Programming languages (8)
RSchemeSASJavaScriptHTMLJupyter NotebookRich Text FormatPython
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