Keyan Li

Welcome to my website! I am an Assistant Professor at the Mendoza College of Business, University of Notre Dame. I am also a research affliate at the MIT Sloan School of Management and a faculty affiliate at the Lucy Family Institute for Data & Society of the University of Notre Dame.

I received a Ph.D. in Management (Quantitative Marketing track) in 2024 at the MIT Sloan School of Management, where I was co-advised by Professors Duncan Simester and Juanjuan Zhang. Before my Ph.D., I received an S.M. from MIT, an M.S. from Tsinghua University, and a B.Econ. from Fudan University.

My research integrates machine learning and economic theories to develop, automate, and sustain business strategies. Currently, my research follows two main lines:

• Minimal Experiments: Identify and optimize the informational value of existing data with minimal to no reliance on new experiments (e.g., A/B tests).
• Incentive Design: Analyze and solve incentive (mis)alignment problems in the domains of (1) product innovation, (2) within-organization susceptibility, and (3) human-AI interaction.

I work or collaborate with companies from personal and online retail, financial services, fashion, online entertainment industries, and nonprofit organizations. My expertise lies primarily in strategies related to AI integration, new product development and growth, and salesforce management.

I am hiring part-time Research Assistants who have strong coding skills and are interested in machine learning and economic theories. To apply, please send your CV and unofficial transcripts to me at keyan.li at nd dot edu.