Mitali Banerjee
PhD, Management, Columbia University
BS, Mathematics, University of Rochester, Summa Cum Laude
BA, Economics, University of Rochester, Summa Cum Laude
Mitali Banerjee is an Assistant Professor in the Strategy & Organizations department at the McGill Desautels Faculty of Management. She uses computational tools in unique empirical contexts such as modern art, jazz, and executive search to study how social structure of producers and distinctiveness of their work shapes valuation in markets. Her work has been published in the Academy of Management Journal and the Proceedings of the National Academy of Sciences. She completed her Ph.D. in Management from Columbia University. She graduated Summa Cum Laude, Phi Beta Kappa with a double major in Mathematics (BS) and Economics (BA) from the University of Rochester. Prior to joining McGill, she was an Assistant Professor at HEC Paris.
Strategic Management
Strategic Challenges in Creative Industries (HEC Paris)
Image Recognition Using Deep Learning : Implementation and Application (HEC Paris-Hi! Paris)
HEC Paris, France
Banerjee, Mitali, Benjamin M. Cole, and Paul Ingram. "“Distinctive from What? And for Whom?” Deep Learning-Based Product Distinctiveness, Social Structure, and Third-Party Certifications." Academy of Management Journal 66.4 (2023): 1016-1041.https://journals.aom.org/doi/abs/10.5465/amj.2021.0175
Zhang, Letian, Mitali Banerjee, Shinan Wang, and Zhuoqiao Hong. "The fragility of artists’ reputations from 1795 to 2020." Proceedings of the National Academy of Sciences 120.35 (2023): e2302269120.https://www.pnas.org/doi/full/10.1073/pnas.2302269120
- Nominated for 2023-24 Innovation in Teaching Award at McGill Desautels Faculty of Management
- Labex Ecodec Grant from French National Agency on AI & Machine Learning (2018-20): EUR 18,920.00