Ipek Ensari is a research scientist at the Data Science Institute at Columbia University. She investigates the relationship of physical activity and exercise to health outcomes, such as anxiety, pain and daily function. Using data from mobile health applications and wearables, she builds machine learning-based models that can generate personalized exercise recommendations to improve chronic disease symptoms. To this effect, she has also conducted work looking at the validity of data from wearables compared to gold standard methods, and how to improve user engagement with mHealth technologies.
Digital data for good: Making your wearables work for you
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