Ta-Wei Huang
Doctoral Student
Doctoral Student
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.
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
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- Huang, Ta-Wei, and Eva Ascarza. "Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals." Harvard Business School Working Paper, No. 23-023, October 2022. (Revised April 2023.) View Details
- Additional Information
- Area of Study
- Areas of Interest