Wenlan Yu is a Ph.D. candidate in Quantitative Marketing with an industrial background in Product Management. Her research focuses on developing theory-driven machine learning frameworks to address problems in product innovation and consumer understanding. She is most comfortable working with Graph Neural Networks (GNN), Natural Language Processing (NLP), and Large Language Models (LLMs).

Education

MS, Business Analytics, The University of Hong Kong, 2018

BA, Economics, Peking University, 2017

BA, Journalism, Peking University, 2017