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We are using advanced machine and deep learning to develop predictive models for hypoglycemia. We will use this risk model to provide proactive alerts to pediatric diabetes patients to reduce hypoglycemic events. Our eventual goal is to develop analytical models to manage diabetes, improve glycemic control, and reduce glycemic excursion.Texas A&M is a recipient of JDRF's research grant — [Identification of Areas of Artificial Pancreas Algorithm Enhancements Through Big-Data Analysis](http://grantcenter.jdrf.org/rfa/identification-of-areas-of-artificial-pancreas-algorithm-enhancements-through-big-data-analysis-part-1/ "Identification of Areas of Artificial Pancreas Algorithm Enhancements Through Big-Data Analysis") — supported by Tidepool Big Data Donation Project.