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 work on developing data-driven tools and algorithms for sequential-decision making problems that are fundamentally challenging and practically relevant. In the past, I have worked on problems related to optimal demand learning, pricing, recommendations and logistics in online and offline retail operations. More recently, I have also worked on developing analytical tools to optimize planning and allocation of resources during times of a pandemic (in the context of COVID-19), as well as leveraging these techniques for social-good.