Emaad Manzoor

Emaad Manzoor is an Assistant Professor of Marketing and a graduate field member of Computer Science at Cornell University's SC Johnson College of Business. He specializes in designing algorithms to enhance human decision-making, focusing on reinforcement learning, human-algorithm collaboration, and causal inference with unstructured data. His work bridges marketing science, machine learning, and computational social science.

Education: PhD in Machine Learning (Carnegie Mellon University). Professional experience includes roles at Yahoo! and Pinterest, and he currently leads projects like stopping-agents and clipalyze. Teaching highlights include creating the AI course at Johnson School and teaching courses on data technologies and human-AI collaboration.

Research is funded by the National Science Foundation ($562,000), Atkinson Center for Sustainability ($25,000), and others. Key contributions include causal inference methods for text analysis, status biases in online deliberation, and ethics in machine learning applications.

Organized sessions at Marketing Science 2025 on 'Behavioral Insights for Algorithm Design' and co-organized the first EMNLP workshop on causal inference with text (2021). His work emphasizes practical applications in marketing, social media, and algorithmic fairness.