Khai Chiong

Khai Chiong is an Assistant Professor at the Naveen Jindal School of Management (Marketing Area) of the University of Texas at Dallas. His research focuses on Quantitative Marketing, Machine Learning, Econometrics, Networks, and Empirical Industrial Organization.

Education:

• PhD in Economics, California Institute of Technology (2015)
• BA, University of Cambridge (2010)

His work bridges empirical industrial organization and machine learning, with a focus on dynamic discrete-choice models, graphical models, and network stability. He has developed drift-diffusion models to analyze mobile advertising response times and contributed to AI-driven hiring systems and procurement network analysis.

Scientific Awards:

• Excellence in Teaching Award, Caltech (2014)
• John O. Ledyard Prize for Best Third Year Paper, Caltech (2013)
• Cambridge Commonwealth Trust Scholarship (2007-2010)
• AMA AI SIG Award for Best AI in Marketing Paper (2024)

His publications demonstrate a trend of integrating statistical decision frameworks (e.g., minimax-regret) with marketing applications such as A/B testing optimization, AI hiring tools, and retail behavior analysis. He also explores econometric methods for high-dimensional data and network theory in industrial organization.