Han Chen is a Ph.D. candidate in marketing at the Fox School of Business, Temple University. His research interests are the impacts of AI usage on consumers and firms, digital advertising, price promotion, product recommendation, human-computer interaction, and behavioral economics. Methodologically, he employs machine learning, econometrics, and field and lab experiments. His research examines 1) how firms effectively use marketing mix tools to influence consumer behavior in the era of artificial intelligence and the digital world, with a special focus on sequential marketing treatment evaluation, and 2) how marketers use machine learning algorithms to boost the efficacy of marketing mix tools. Han holds a master’s degree in Management Science and Engineering and a bachelor’s degree in Industrial Engineering, both from Northeastern University, China.