Haosheng Fan is Assistant Professor of Marketing at NEOMA Business School. He received his BSc in Computer Science from City University of Hong Kong, MPhil and PhD in Marketing from Hong Kong University of Science and Technology. He teaches Pricing Strategy, Strategic Marketing and Services Marketing. His primary research interest is quantitative marketing, in particular in the area of innovation, contest, machine learning and visual marketing. His research focuses on the impact of various information structures on online platforms. He is also interested in adopting machine learning methods to deal with unstructured data such as texts, images, and videos. His research has been presented at the Marketing Science Conference.