Rachel is a statistician with the Michigan Health Economics and Affordability Lab (M-HEAL) which is housed within the Center for Healthcare Outcomes and Policy (CHOP). She received her BS in Genomics and Molecular Genetics from Michigan State University, her MS in Cell and Molecular Biology from Eastern Michigan University and is currently pursing an MS in Data Analytics from Georgia Institute of Technology. Her previous work focused on understanding the neurobiological substrates of psychiatric disease and cognitive changes with aging. Within M-HEAL, her work focuses on understanding financial outcomes after traumatic or life changing medical events. Her primary languages are R and Python and she has experience with experimental design and analysis, longitudinal studies, OLS and logistic regression, machine learning and more. Rachel hopes that her work within M-HEAL will lead to policy changes that make health treatment more affordable and attainable for all.
