I work as a mobile context analytics researcher at Samsung Research America, Silicon Valley, where I research core technologies and build mobile systems focusing on mobile user context sensing and pattern mining, to enable highly personalized mobile devices.

Since joining Samsung Research in February 2012, I have worked as a technical lead in developing on-device pattern mining and prediction systems on smartphones, researched context-aware mobile power management, and developed a power-efficient sensor-based context recognition system on Android and Tizen smartphones.

Before Samsung, I graduated with a PhD in computer science from the University of Virginia in December 2011, advised by Professor John Stankovic and Professor Kamin Whitehouse.  My PhD research focused on building non-invasive sensor platforms for smart homes and using data from these sensors to perform unsupervised inference of resident activities, identities, and resource usage patterns. Check my past PhD research projects for more information.

I have broad interests in mobile sensing and computing, data mining, machine learning, cyber-physical systems, and ubiquitous computing. Check my recent and past publications for more information!