I am a Computer Science and Engineering Ph.D. student at the University of Connecticut. Since Fall 2020, I have been a member of Computer Networking Research Group, supervised by Dr. Bing Wang. My main research interests are ubiquitous computing, digital health, machine learning
and deep learning. My research revolves around harnessing the potential of data-driven insights
and investigating the use of machine learning algorithms to develop effective depression
monitoring and assessment that can help clinicians better understand and treat mental health
issues. My work contributes to advancing the field of smart and connected health, specifically, using
sensory data collected from mobile devices (smartphones and wearables) to automatically
monitor depression symptoms and predict the treatment outcome of depression.