BIO

Ta-Wei (David) Huang is an Assistant Professor of Marketing at the National University of Singapore. His research integrates causal inference and machine learning to address fundamental challenges in modern customer management. He studies how firms can design and personalize marketing interventions in complex decision environments, with applications in customer targeting, dynamic interventions, and privacy-preserving analytics. Methodologically, his work combines tools from causal inference, machine learning, and optimization to develop scalable methods for data-driven marketing decisions. He received his Ph.D. in Marketing from Harvard Business School.