Suproteem Sarkar

Suproteem Sarkar is an Assistant Professor of Finance and Applied AI at the University of Chicago Booth School of Business, focusing on intersections of economics, finance, and artificial intelligence. He holds a Ph.D. in Economics, an S.M. in Applied Mathematics, and an A.B. in Computer Science (summa cum laude) from Harvard University. His prior industry experience includes roles at Microsoft and Google.

• Education:
  • Ph.D. in Economics, Harvard University
  • S.M. in Applied Mathematics, Harvard University
  • A.B. in Computer Science (summa cum laude), Harvard University

His research explores the application of machine learning in economics and finance, with significant work on stock valuation biases, ESG investment dynamics, and precision healthcare policies. Notably, he developed the StoriesLM framework for time-indexed language models and contributed to the Harvard USPTO Patent Dataset, enabling NLP studies of innovation.

Recent articles highlight trends in AI-driven economic modeling, including

• Lookahead Bias in language models
• Demand for ESG funds
• Economic Representations of firms via embeddings
• Constitutional Challenges in criminal justice algorithms

He has received the Certificate of Distinction in Teaching and instructed courses at Harvard and MIT, including Artificial Intelligence Meets Human Intelligence (2022) and Algorithms and Behavioral Science (2024).