معرفی
Indira Puri is an Assistant Professor of Finance at the Leonard N. Stern School of Business, New York University, joining in 2023. She holds affiliated faculty appointments with the NYU Department of Economics and the Center for Experimental Social Science (NYU C.E.S.S.), reflecting her interdisciplinary research in finance, economics, and decision-making.
Education:
- PhD in Economics, Massachusetts Institute of Technology, 2023
- MS in Computer Science, Stanford University
- BAS in Mathematics, Stanford University
- BAS in Economics, Stanford University
Her research centers on understanding how consumers and businesses make decisions, particularly under risk and uncertainty. She develops and tests economic and financial models to uncover the mechanisms behind observed behavior, with a strong focus on preference for simplicity, probability weighting, and behavioral biases in financial markets. Her work combines theoretical modeling with empirical analysis, especially in consumer finance, derivatives, and investor psychology.
Her recent publications explore how simplicity affects risk choices, overvaluation of simple bets in options markets, and timing uncertainty in financial pricing. Collectively, her research reveals systematic deviations from traditional economic models due to cognitive frugality and mental shortcuts in decision-making.
Scientific Awards:
- AQR Top Finance Graduate Award
- Paul and Daisy Soros Fellowship for New Americans
- National Science Foundation Graduate Research Fellowship
- Hillel Einhorn New Investigator Award (Runner-Up)
- Yuki Arai Best Paper Award
- Best Paper Award, London Business School Summer Symposium
- Best Paper Award, UC Davis-FMA Napa Finance Conference
Indira Puri actively contributes to the academic community through conference discussions and presentations at major forums such as the NBER Summer Institute, SFS Cavalcade, and Stern-Salomon Microstructure Meeting. While no formal advising or grant information is listed, her early-career recognition and publication record suggest strong potential for future research leadership. She is affiliated with experimental and behavioral research groups at NYU, indicating involvement in collaborative, data-driven projects.
