معرفی
Divya Singhvi is an Assistant Professor of Technology, Operations, and Statistics at the Leonard N. Stern School of Business, New York University, where he joined in 2021. His research bridges machine learning and operations management, with applications in retail operations, demand forecasting, pricing, and logistics.
Education:
- Ph.D. in Operations Research, Massachusetts Institute of Technology
- B.S. in Operations Research & Engineering, Cornell University
His research interests focus on data-driven approaches to operational decision-making, particularly in dynamic retail environments. By integrating machine learning models into operations frameworks, he aims to improve efficiency and profitability in both online and offline retail settings.
While no publications are listed in the provided text, his work appears to center on algorithmic decision-making, optimization under uncertainty, and the practical deployment of AI in business operations.
Scientific Awards:
- No awards mentioned in the provided text.
Professor Singhvi advises students through his teaching and research mentorship. He has taught courses such as Data Models and Decisions and Introduction to Operations Management, which are foundational for MBA and undergraduate business students. There is no mention of external grants in the provided content.
He was previously a postdoctoral researcher in the IBM Research AI Residency program, indicating industry research experience and engagement with applied AI systems. No specific lab or research team is mentioned in the text.
