The faculty encouraged us to identify research interests in the first year. I was still exploring my interests; however, the epidemiology class helped me discover my interest in global health epidemiology, specifically infectious diseases. My interest populations are the Hispanic population and refugees. I encountered professionals dedicated to Tuberculosis research through Dr. Lanning’s class, which motivated me. Thus, my initial plan was to analyze TB risk factors in high-risk countries, such as Brazil, specified by WHO. However, it took much work to find relevant datasets, as most of the high-risk countries ranked amongst lower- and middle-income countries lacking data technology. With considerable effort, I encountered WHO’s data on Tuberculosis in lower- and middle-income countries; however, the data is private. To request the data, my PI would have to provide their credentials. Furthermore, it was not certain how long the process to get the data would take and, if any, if the data would be relevant to my analysis. I also talked with my internship location, Baylor College of Medicine, about their research on TB in Eswatini. However, their research included clinical and genomic data irrelevant to my project idea. After discussing with Dr. Wang, I used a nationally representative large NHANES dataset to determine the progression of Latent TB Infection (LTBI) to active tuberculosis disease. However, the United States is not ranked among the high-risk country, so the prevalence of TB is relatively minimal. As immunity is the primary mediator of LTBI toward active TB infection, I selected Total cholesterol as my exposure factor, with obesity and high blood pressure being the significant causes of death in the United States. Some challenges of using NHANES data were that NHANES is a cross-sectional study, so analyzing the incidence is impossible. Furthermore, NHANES only collected the TB data in two survey cycles- 1999-2000 and 2011-2012. Moreover, there is less than a 5% prevalence of TB in both survey cycles. Thus, TB should be considered a rare outcome, allowing me only to use the Odds ratio as my measure of association. It was also challenging to structure the findings in the capstone report format. The report, although comprehensive, turned out to be double the length of the average journal article in epidemiology.