Yaguang Zheng

Cardiometabolic risk reduction by leveraging mobile health, electronic health records, and data science techniques. Explored behavioral phenotypes through the use of wireless devices in clinical trials and real-world settings and their impacts on cardiometabolic disease prevention and management. Lifestyle behavior changes through mobile health, more specifically, using mobile health for self-monitoring and its impact on weight-loss outcomes. Engagement with mobile health. Applied machine learning algorithms to analyze data from a large real-world sample that has yielded varied patterns of use of wireless devices over the course of a year. Electronic health record data, including mobile health data from wearable devices, like continuous glucose monitors.

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