Ta-Wei (David) Huang

I am an Assistant Professor of Marketing at the National University of Singapore.

My research integrates causal inference and machine learning to address critical challenges in modern customer value management, such as:
- How to personalize marketing interventions with complex decision spaces?
- How to design personalization strategies that prioritize long-term success over short-term gain?
- How to maintain effective personalization while complying with privacy regulations?

I received my Ph.D. in Quantitative Marketing from Harvard Business School, an M.S. in Statistics from National Taiwan University, and a B.S. in Quantitative Finance from National Tsing Hua University, Taiwan. Prior to pursuing my Ph.D., I worked in industry, leading a data science team and serving as a consultant.

Topics: Targeting and Personalization, Customer Value Management, Customer Privacy
Methods: Causal Machine Learning, Multitask and Transfer Learning, Representation Learning, Reinforcement Learning, Differential Privacy, Algorithmic Fairness