Divya Singhvi
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Assistant Professor of Technology, Operations, and Statistics Contact44 West Fourth Street, Kaufmann Management Center, 8-75 |
Bio
I am an Assistant Professor of Technology, Operations and Statistics at the Leonard N. Stern School of Business at New York University. Prior to joining Stern, I was a postdoctoral researcher in the IBM Research AI Residency Program. I recieved my Ph.D. in Operations Research from MIT, ORC where I was advised by Professor Georgia Perakis . During my PhD, I spent a summer as an intern at the Business Analytics and Mathematical Sciences division of the IBM T. J. Watson Research Center. Prior to joining MIT, I graduated from Cornell University in 2015 with S.B. (Hons.) in Operations Research and Engineering.
My research lies at the intersection of machine learning and operations management. I focus on developing data-driven tools and algorithms to address fundamentally challenging and practically relevant decision-making problems, with the objective of achieving real-world impact. In the past, I have worked on problems related to optimal demand learning, pricing, recommendations, and logistics in both online and offline retail operations. More recently, my research has focused on developing analytical tools for social-good applications in diverse contexts, such as healthcare, educational technology (ed-tech), and resource-constrained supply chains in developing countries. These applications aim to address the unique challenges and constraints faced by these sectors, ultimately contributing to positive social impact.