Students from the Master’s of Science in Health Informatics program at the University of San Francisco are working with Tidepool to clean, validate, and improve the quality of donated CGM and pump data. The current projects include, but are not limited to, assessing the accuracy of local time estimates, deduplicating data, and data inference via machine learning.