Ta-Wei Huang

David Huang is a doctoral candidate in the Marketing Unit at Harvard Business School. His research focuses on accurate, fair, and privacy-preserving methods in customer relationship management. Prior to HBS, he was a data team lead at Migo.tv and a consultant at Mastercard Data & Services (formerly Applied Predictive Technologies), where he worked on data science projects in customer lifecycle management, experience personalization, and business experimentation. He is also an online data science instructor with more than three-thousand students. He graduated from National Tsing Hua University with a BS in Quantitative Finance and received his MS in Statistics from National Taiwan University.

Working Papers

• Huang, Ta-Wei, and Eva Ascarza. "When Less Is More: Using Short-term Signals to Overcome Systematic Bias in Long-run Targeting." Harvard Business School Working Paper, No. 23-023, October 2022. View Details

Area of Study

• Marketing

Areas of Interest

• customer relationship management
• digital economy
• econometrics
• machine learning