Undergraduate, Statistical Science
Due to my personal experience with injuries and ballet, I am currently interested in exploring data associated with sports medicine and general health. I strongly believe that machine learning and feature learning tools hold a strong potential in studying injury risk and forming injury prevention programs.
Outside of my studies, you may find me teaching dance classes in Chapel Hill, playing trombone with the Duke Jazz Ensemble, or taking Zumba classes at Wilson Gym. I also love watching films, stressing out over Duke Basketball, and journaling in my free time.
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Duke University (2022) BS Statistical Science w/ Data Science Concentration and Minor in Computer Science
Developed machine learning models to predict injury risk in student athletes and created web-application for student athletes, physicians, clinicians, trainers, and coaches. (Data+, Duke K Lab, 2019/2020)
Exploring and visualizing data from continuous glucose monitoring and food diaries from those diagnosed with prediabetes (2020, BIG IDEAS LAB) Current