Yu Ding is an assistant professor of marketing at Stanford Graduate School of Business. He received his PhD in marketing from Columbia University. Ding's research aims to help firms address trust deficits. His research topics cover trust in authority (e.g., science), trust in brands (e.g., news media), trust in people (e.g., strangers), and debiasing, in contexts of misinformation and social media. Ding employs different methods to study these problems, including lab experiments, field studies, archival data analyses, and statistical and machine learning techniques. His recent research addresses the problem of information overload that results in a lack of ability to discern true from false information, and hence general distrust, ambivalence, and skepticism towards information.