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Multimodal Time-Series Activity Forecasting for Adaptive Lifestyle Intervention Design

We focus on devising algorithms that combine data about physical activity and engagement with the app to predict future physical activity performance.

Forewarning Postprandial Hyperglycemia with Interpretations using Machine Learning

Warn users of potential hyperglycemic events in advance and provide interpretation for decisions made by models to modify lifestyle.

On-Device Machine Learning for Diagnosis of Parkinson's Disease from Hand Drawn Artifacts

CNN model developed, quantized, and deployed on Android platform to screen PD patients from hand-drawn spirals.