Somya Singhvi

Ph.D. Candidate
Operations Research Center
Massachusetts Institute of Technology
1 Amherst St, Cambridge, MA 02142
ssinghvi "at" mit "dot" edu
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About

I am a fourth-year doctoral candidate at the Operations Research Center at MIT, advised by Professor Retsef Levi and Professor Y. Karen Zheng. My research focuses on developing data-driven models and decision support tools to optimize the design and operations of agricultural supply chains. Prior to joining MIT, I finished my undergraduate studies at Cornell University majoring in Operations Research & Engineering and minoring in Applied Mathematics.

You can watch a short video on my current research projects in India here.

Papers
  • Economically Motivated Adulteration in Farming Supply Chains (with R Levi and Y Zheng), forthcoming in Management Science (2019). preprint
  • Artificial Shortage in Agricultural Supply Chains (with R Levi and Y Zheng), submitted (2019). preprint
  • Unifying Agricultural Wholesale Markets: Impact on Farmers' Income (with R Levi, M Rajan and Y Zheng), submitted (2019). preprint
  • Predicting Bike Usage for New York City's Bike Sharing System (with D Singhvi, P Frazier, S Henderson, E Mahony, D Shmoys and D Woodard), AAAI Workshop on Computational Sustainability (2015). article
Honors and Awards
  • 2019 - Winner, POMS College of Sustainable Operations Best Student Paper Competition
  • 2017-current - Tata Fellowship, Tata Center for Technology and Design at MIT
  • 2011-2015 - Tata Scholarship for Students from India, Cornell University
Talks
  • Unifying Agricultural Wholesale Markets: Impact on Farmers' Income, presented at POMS 2019.
  • Where Should I sell? Optimal Market Selection for Farmers in an Agricultural Network, presented at POMS 2019.
  • Artificial Shortage in Agricultural Supply Chains, presented at POMS 2019, MIT Sloan OM Seminar Series 2018, MSOM 2018, INFORMS 2018.
  • Economically Motivated Adulteration in Farming Supply Chains, presented at INFORMS 2016, MSOM 2017, INFORMS 2017, MSOM Supply Chain Management SIG 2018.