Emaad
Manzoor

Hi! I am an Assistant Professor of Marketing and a graduate field member of Computer Science at Cornell University. You can reach me at emaadmanzoor@cornell.edu.

I design algorithms to improve human decisions. My current research is on reinforcement learning, human-algorithm collaboration, and causal inference with unstructured data. See here for my papers and preprints ordered chronologically.

I teach (and created) the AI course at Johnson, which is also an approved elective for the CS AI minor and the CS M.Eng. program. I have previously taught a PhD seminar on human-algorithm interactions (syllabus). See here for my other teaching.

I have previously worked at Yahoo! and Pinterest. I am currently building stopping-agents & clipalyze.

Recent News

• I am organizing a session on Behavioral Insights for Algorithm Design at Marketing Science 2025. Join us!

• Funding news! We were awarded $500K+ in funding from the National Science Foundation and the Atkinson Center to build reinforcement learning systems, and funding for 2 projects on human-AI collaboration.

Acknowledgements: My research group is grateful for funding from the Cornell Center for Social Science (awarded amount: $22,392), American Family Insurance (awarded amount: $94,575), the National Science Foundation (awarded amount: $562,000), the Johnson School Faculty Curriculum Development Award (awarded amount: $11,000), the Atkinson Center for Sustainability (awarded amount: $25,000) and OpenAI (awarded amount: $5,000 in API credits).