Transition from Bench Science to Data Science in Public Health

Kimberly Deas, a data analyst at UT Southwestern Medical Center in Dallas, shares insights on her shift from bench science to data science and her work in medical ethics related to HIV-positive individuals. She explains the use of logistic regression in R for analyzing data sets on health disparities in HIV incidents, emphasizing the impactful changes data can drive in tackling public health challenges.