I have a doctoral degree in epidemiology, with a focus on genetic epidemiology, and master’s degrees in statistics and public health. My work is focused on high throughput statistical analysis of genomic data and its relationship to outcomes that show marked disparities across ages, ethnic groups and sexes, including Alzheimer’s disease. I also have experience in exploring the relationships among genetic (DNA) and epigenetic (methylation and gene expression) data and their interactions with behavioral and socioeconomic risk factors as determinants of chronic disease phenotypes that disproportionately affect minorities using cutting-edge computational methods. I’ve taught introductory statistics and math methods for data science in the residential and online master’s degree programs in the School of Information.