Divya Singhvi

Ph.D. Candidate
Operations Research Center
Massachusetts Institute of Technology
1 Amherst St, Cambridge, MA 02142
dsinghvi "at" mit "dot" edu
LinkedIn Google Scholar

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About

I am a fifth-year doctoral candidate at the Operations Research Center at MIT, advised by Professor Georgia Perakis. My research lies at the intersection of machine learning and operations management. I have worked on problems related to optimal demand learning, pricing, recommendations and logistics in online and offline retail operations. I am currently on the academic job market.

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 finished my undergraduate studies at Cornell University majoring in Operations Research and Engineering and minoring in Applied Mathematics.

My CV can be found here.

Upcoming Talks at INFORMS 2019
  • Dynamic Pricing with Unknown Non-parametric Demand and Limited Price Changes
    • October 20, Session-SB16 at 11:00 AM (Room: CC-304)
  • First Delivery Gaps: A Supply Chain Lever to Reduce Product Returns in Online Retail
    • October 20, Session-SC52 at 1:30 PM (Room: CC-Skagit 1)
  • Learning Personalized Product Recommendations with Customer Disengagement
    • October 20, Session-SD26 at 4:30 PM (Room: CC-4C-1)

Additionally, my co-authors will be preseting our joint work in the following sessions:
  • Managing In-class-fulfillment at a Large Fashion E-retailer, by Yiannis Spantidakis
    • October 22, Session-TA54 at 7:30 AM (Room: CC-Skagit 3)
  • Extended Sampled Trees for Classification and Regression, by Omar Skali-Lami
    • October 22, Session-TB54 at 10:30 AM (Room: CC-Skagit 3)
Papers
  • Pricing and Recommendations
    • Learning Personalized Product Recommendations with Customer Disengagement (with H Bastani, P Harsha, G Perakis), 2018, major revision in Manufacturing & Service Operations Management. preprint.
      • 2019 - Second Place in INFORMS Best Service Science Paper Award competition
      • 2019 - Honorable Mention in POMS College of Supply Chain Management Best Student Paper Award
    • Dynamic Pricing with Unknown Non-Parametric Demand and Limited Price Changes (with G Perakis), 2019, soon to be submitted.
      • Spotlight presentation at INFORMS Revenue Management & Pricing (RMP) Conference 2019, Stanford, CA.
    • Personalized Pricing with Feature Measurement Error (with N Gabouge, P Harsha, G Perakis), 2019, soon to be submitted.
    • Personalized Dynamic Pricing with Unknown Latent Classes (with P Harsha, G Perakis), 2019, working paper.
    • Less Can be More in Price Experimentation (with G Perakis), 2018, working paper.
  • Supply Chain and Logistics
    • Predicting Bike Usage for New York City's Bike Sharing System (with S Singhvi, P I Frazier, S G Henderson, E O'Mahony, D B Shmoys and D B Woodard), AAAI Workshop: Computational Sustainability, 2015. Final article.
    • First Delivery Gaps: A Supply Chain Lever to Reduce Product Returns in Online Retail (with M Chaurasia, S Pandey, H S Rathore, G Perakis), 2018, major revision in Manufacturing & Service Operations Management.
      • Preliminary version in 2019 MSOM Supply Chain Management SIG
    • Managing in-class Fulfillment at a Large Fashion E-Retailer (with G Perakis, Y Spantidakis), 2019, soon to be submitted.
  • Machine Learning and Interpretability
    • Leveraging Comparables for New Product Sales Forecasting (with L Baardman, I Levin and G Perakis), 2018, major revision in Operations Research. preprint.
      • 2018 - First place in POMS Applied Research Challenge
      • 2018 - First place in POMS College of Supply Chain Management Best Student Paper Award
      • 2018 - Finalist in INFORMS Service Science Section Best Student Paper Award
      • 2018 - Honorable mention in MIT Operations Research Center Best Student Paper Competition
      • Preliminary version in 2018 MSOM Supply Chain Management SIG
    • XSTrees: A Distributional Tree Sampling Framework for Interpretable Tree Ensembles (with G Perakis, O Skali-Lami), 2019, soon to be submitted.
Honors and Awards
  • 2019 - MIT Best Analytics Capstone Award (Student Mentor)
  • 2019 - Second Place in INFORMS Best Service Science Paper Award
  • 2019 - Honorable Mention in POMS College of Supply Chain Management Best Student Paper Award
  • 2018 - First place in POMS Applied Research Challenge
  • 2018 - First place in POMS College of Supply Chain Management Best Student Paper Award
  • 2018 - Finalist in INFORMS Service Science Section Best Student Paper Award
  • 2018 - Honorable mention in MIT Operations Research Center Best Student Paper Competition
  • 2011-2015 - TATA Scholarship for Students from India, Cornell University
Talks
  • Dynamic Pricing with Unknown Non-Parametric Demand and Limited Price Changes, presented at RMP 2019, POMS 2019.
  • Learning Personalized Product Recommendations with Customer Disengagement, presented at INFORMS 2018, POMS 2019, MSOM 2019.
  • First Delivery Gaps: A Supply Chain Lever to Reduce Product Returns in Online Retail, presented at MSOM 2019.
  • Personalized Pricing with Unknown Latent Class Models, presented at MSOM 2018, INFORMS 2018.
  • Less Can be More In Price Experimentation, presented at INFORMS 2016, MSOM 2017, INFORMS 2017, INFORMS 2018, MIT Sloan OM Seminar Series 2018
  • Leveraging Comparables for New Product Sales Forecasting, presented at MSOM 2017. INFORMS 2017, ISB-POMS Workshop 2017, RMP 2018, MSOM Supply Chain Management SIG 2018, INFORMS Data Mining and Decision Analytics Workshop 2018.