不良研究所

Mitali Banerjee

Title: 
Assistant Professor, Strategy & Organization
Mitali Banerjee
Contact Information
Email address: 
mitali.banerjee [at] mcgill.ca
Alternate email address: 
nicoleta.anton [at] mcgill.ca
Address: 

Bronfman Building []
1001 rue Sherbrooke Ouest
Montreal, Quebec
Canada
H3A 1G5

Degree(s): 

PhD, Management, Columbia University

BS, Mathematics, University of Rochester, Summa Cum Laude

BA, Economics, University of Rochester, Summa Cum Laude

Area(s): 
Strategy & Organization
Biography: 

Mitali Banerjee is an Assistant Professor in the Strategy & Organizations department at the 不良研究所 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 不良研究所, she was an Assistant Professor at HEC Paris.

Courses: 

Strategic Management

Strategic Challenges in Creative Industries (HEC Paris)

Image Recognition Using Deep Learning : Implementation and Application (HEC Paris-Hi! Paris)

Group: 
Faculty
Tenured & Tenure Track
Research areas: 
Big Data & Machine Learning
Creativity
Culture & Consumption
Economic Sociology
Organizational Theory
Social Networks
Taught previously at: 

HEC Paris, France

Selected publications: 

Banerjee, Mitali, Benjamin M. Cole, and Paul Ingram. "鈥淒istinctive from What? And for Whom?鈥 Deep Learning-Based Product Distinctiveness, Social Structure, and Third-Party Certifications."听Academy of Management Journal听66.4 (2023): 1016-1041.

Zhang, Letian, Mitali Banerjee, Shinan Wang, and Zhuoqiao Hong. "The fragility of artists鈥 reputations from 1795 to 2020."听Proceedings of the National Academy of Sciences听120.35 (2023): e2302269120.

Awards, honours, and fellowships: 
  • Nominated for 2023-24 Innovation in Teaching Award at 不良研究所 Desautels Faculty of Management
  • Labex Ecodec Grant from French National Agency on AI & Machine Learning (2018-20): EUR 18,920.00

Back to top