Conducting doctoral research at the Augmented Health Lab, Dartmouth College.
Previously worked at the Big Ideas Lab, Duke University.
Led a project using insulin pump meal log data to build personalized machine learning models for precise prediction of carbohydrate intake timing to optimize insulin delivery.
Designed and developed front- and back-end components of a health monitoring mobile application integrating continuous data from medical- and consumer-grade wearables for personalized diabetes management.
Current research uses contextual daily-life data (e.g., heart rate, step count, exercise metrics) to provide real-time predictions of glucose range and variation.