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Columbia University’s Data Science Institute Presents:
DATA SCIENCE DAY

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Wednesday, April 6 • 2:00pm - 4:30pm
Using Data Science to Generate Real-Time Blood Glucose Forecasts for Individuals with Diabetes [D18]

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In this demo we will showcase a novel way to utilize data collected through self-monitoring to predict health impact of future actions. Diabetes is a chronic illness affecting nearly 10% of Americans, and requires multiple adjustments to diet, exercise, and other lifestyle choices. Yet anticipating the impact of these adjustments can be challenging for both individuals with diabetes and their caregivers. We have developed Mealyzer, a mobile application that facilitates diabetes self-management by providing users with real-time, personalized, physiology-based forecasts of blood glucose levels based on prospective meals. Users record their blood glucose and meals by submitting images and descriptive text, and subsequently receive short-term blood glucose predictions that are generated in a data assimilation framework that uses a dual unscented Kalman filter to personalize mechanistic models of the glucose-insulin system. In this demo, we will showcase the Mealyzer mobile interface, and visualization of the forecasts generated with computational models.

Demo/Poster Presenter
avatar for David J. Albers

David J. Albers

Associate Research Scientist in Biomedical Informatics, College of Physicians and Surgeons
David Albers is an Associate Research Scientist who earned his bachelor’s in mathematics and bachelor’s, master’s, and PhD degrees in physics at the University of Wisconsin at Madison. Experienced in nonlinear science and dynamical systems, Dr. Albers has recently aimed to apply these skills and methods to electronic health records and intensive care data, particularly looking at temporal changes. He has worked closely with Dr... Read More →
avatar for Matthew Levine

Matthew Levine

Research Associate in Biomedical Informatics, College of Physicians and Surgeons
Matthew Levine is a Research Associate in the Department of Biomedical Informatics at Columbia University. His primary research interests focus on the temporal dynamics of biomedical data. Matthew’s recent work involves pairing mechanistic models with physiologic data, with a goal of making useful forecasts and inferences about not only measurable physiology (e.g. blood glucose) but also the underlying dynamics of biological systems (i.e... Read More →
avatar for Olena Mamykina

Olena Mamykina

Assistant Professor of Biomedical Informatics, College of Physicians and Surgeons
Olena Mamykina is an Assistant Professor of Biomedical Informatics in the Department of Biomedical Informatics at Columbia University. Her primary research interests reside in the areas of Biomedical Informatics, Human-Computer Interaction, Ubiquitous and Pervasive Computing, and Computer-Supported Collaborative Work. Her broad research interests include individual and collective cognition, sensemaking and problem-solving in the context... Read More →


Wednesday April 6, 2016 2:00pm - 4:30pm
Roone Arledge Auditorium Lerner Hall, Columbia University 2920 Broadway, New York, NY 10040

Attendees (4)