Machine Learning Intern, Lifespan Digital Health Current
Working on machine learning models and predictive analytics for healthcare burnout, with a focus on turning wearable and behavioral data into useful signals for proactive support.
I’m a senior at the University of Arizona studying Computer Science and Statistics. I’m interested in applied machine learning, data systems, and building tools that turn messy real-world data into insights people can actually use.
I like working across the full data pipeline, from processing and feature building to modeling, evaluation, and making results usable through dashboards, APIs, or internal tools. I’m drawn to domains where technical work is directly connected to real-world decision-making and impact.