Tanya P. Garcia, PhD
Associate Professor of Biostatistics, Gillings School of Public Health
Research Faculty, ºÚÁÏÍø Neurology Hunting Disease Program
Areas of Interest
High-Dimensional Variable Selection, Longitudinal Data Analysis, Neurodegenerative Diseases, Nonparametric Models, Prediction Models, Semiparametric Models, Survival Analysis
About
With prior funding from the Huntington Disease Society of America and NIH, I am a biostatistician committed to unraveling the complexities of Huntington disease progression. The unique nature of Huntington disease, in that people with the gene mutation are guaranteed to develop the disease, presents a unique case study for statistical modeling that fascinates me. One of my long-term goals is to develop reproducible statistical methods that reliably estimate how symptoms worsen before and after clinical diagnosis, so that researchers can identify when experimental therapies could best modify that disease course, and design well-powered clinical trials to test those therapies. Developing these methods will advance my ultimate vision to help patients suffering from this devastating neurodegenerative disease.
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PhD in Statistics
Texas A&M University
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Masters of Science
University of Western Ohio
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Masters of Science in Industrial Engineering and Operations Research
UC Berkeley