Xinyuan Zhang

Xinyuan Zhang is a doctoral candidate in the Analytics program. She studies user digital traces under various contexts and focuses on developing and applying novel computational methods to extract behavioral patterns from digital trace data. She is interested in how behavioral patterns are related to practical outcomes, such as purchase decisions, mental health assessments and volunteer activities.