Ta-Wei Huang

Ta-Wei (David) Huang is a PhD candidate in Quantitative Marketing at Harvard Business School. His research integrates causal inference and machine learning to address methodological challenges and unintended consequences in targeting, personalization, and online experimentation. Before joining HBS, he worked in the industry as a data science manager and a consultant, where he led various data science initiatives. His projects spanned customer lifecycle management, crafting personalized experiences, and conducting business experiments. David holds a BS in Quantitative Finance from National Tsing Hua University, Taiwan, and an MS in Statistics from National Taiwan University.