Gustavo Vulcano

Gustavo Vulcano is an Adjunct Professor in the Department of Information, Operations and Management Sciences at the Leonard N. Stern School of Business, New York University, where he has been affiliated since 2002. He served as Assistant Professor (2002–2010), Associate Professor (2010–2017, tenured in 2012), and has held an adjunct role since 2017. His academic work bridges theoretical and applied operations management with strong industry engagement.

Education:

• Ph.D. in Operations Management, Columbia University, 2003
• M.Phil. in Operations Management, Columbia University, 2000
• M.S. in Computer Science, University of Buenos Aires, 1997
• B.S. in Computer Science, University of Buenos Aires, 1994

His research focuses on revenue and pricing analytics, retail operations, and supply chain management, particularly emphasizing customer choice modeling, data-driven optimization, and computational methods in network revenue management. He integrates stochastic modeling and behavioral insights to develop practical pricing and operational strategies. His work is deeply rooted in real-world applications across airlines, retail, and financial services.

The analysis of his publications reveals a consistent trend in leveraging data-driven decision-making under uncertainty, with a focus on dynamic pricing, demand learning, and robust optimization. His articles span premier journals such as Operations Research and Management Science, reflecting a strong theoretical foundation combined with empirical and computational rigor. Key thematic areas include customer behavior modeling, network revenue management, and stochastic optimization for service industries.

Scientific Awards and Leadership:

• Chair, INFORMS Revenue Management and Pricing Section (2016–2017)
• Associate Editor, Operations Research and Management Science

Prof. Vulcano has advised numerous PhD and master’s students and has secured research grants through industry collaborations. His consulting projects with Delta Airlines, Sabre Holdings, Aerolíneas Argentinas, and ICBC demonstrate a strong commitment to translating academic research into practical solutions. He has taught core courses such as Operations Management, Pricing and Revenue Management, and Dynamic Programming across undergraduate, MBA, PhD, and MSBA programs, shaping future leaders in data-driven decision-making.

He is actively involved in research labs and teams focused on operations analytics and pricing strategy, often collaborating with interdisciplinary groups at NYU Stern and industry partners. His ongoing editorial roles and consultancy reflect sustained engagement in advancing the field of revenue management and operations science.