Membership

Biography

As an AI developer, researcher, and educator, Philip explores how AI and data science reshape decision-making on online platforms and marketplaces. His research develops AI and data science methodologies, large language models, machine learning, causal inference, and data-driven optimization, to evaluate and optimize operations strategies for online platforms and marketplaces, sharing economy, and social networks. His research particularly addresses recommendation systems, advertising, pricing, and matching policies. Philip's work has been published in leading journals such as Management Science, Operations Research, and Manufacturing & Service Operations Management, and has received recognition through various research awards from INFORMS, POMS, and CSAMSE communities.