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I am a Systems Scientist in Human-Computer Interaction Institute at Carnegie Mellon University. My research has focused on using smartphones to understand human functions and to develop models of risky behavior based on mobile systems. The goal of my work is to examine the feasibility and acceptability of collecting continuously-sensed contextual information and active patient-reported symptom reports and to use these types of information to develop algorithms to most accurately predict human behavior for use in health monitoring and treatment delivery. My research uses mobile computing and machine learning techniques to predict depression, chronic symptoms, hospital readmissions, binge drinking, marijuana use and opioid addiction from continuously sensed data available from mobile sensors such as smartphone and wearables. 





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