DigiBiom 2022: Emerging Devices for Digital Biomarkers
Bhanu Teja Gullapalli
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Postdoc/Applied Research Scientist Health AI Apple Inc. Postdoc at Statistics Department, Harvard University (2016-19) Ph.D. in Information Science, Cornell University (2016)
I am interested in adaptive intervention in the mobile health space. I build computational tools that analyze human behavior from phone data (e.g., sensors, self-input) and then intervenes in real time in ways that are personalized and contextualized to users' needs, daily routine, and the environments they live in. Keywords : Adaptive health intervention, Mobile Sensing, Context-aware computing, Reinforcement learning, User-centered design CV | Google Scholar Short bio I am currently a Postdoc/Applied Rese
MyBehavior learns a user's physical activity and dietary behavior from phone data and suggests personalized changes to these behaviors. MyBehavior is the first app that combined sensor data with reinforcement learning and provided personalized health recommendations.
DigiBiom 2022: Emerging Devices for Digital Biomarkers
Bhanu Teja Gullapalli