Nishanth Mundru

Ph.D. Candidate
Operations Research Center
Massachusetts Institute of Technology

Contact: nmundru "at" mit "dot" edu

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About Me

I am a final-year doctoral candidate at the Operations Research Center at MIT advised by Professor Dimitris Bertsimas. I am currently working on developing methods for prescriptive analytics - using data-driven techniques from optimization, statistics, and machine learning to solve problems that lead to better decisions and outcomes. I'm particularly excited about solving real-world motivated problems in healthcare analytics and operations management. Additionally, I'm interested in developing optimization algorithms for machine learning problems and real world applications.

During my PhD, I spent a summer as an intern at Google Research, NYC . Before coming to MIT, I worked in quantitative finance for a year developing statistical arbitrage based strategies at WorldQuant LLC, India.

I obtained my undergraduate degree (B.Tech) in Chemical Engineering along with a minor in Applied Statistics and Informatics from the Indian Insitute of Technology Bombay in Mumbai, India. During my undergraduate, I spent a summer each working on problems in computational systems biology in EPFL, Switzerland and process control in NUS, Singapore.

Papers
  • D. Bertsimas, C. McCord, N. Mundru. "Prescriptive Analytics for Observational Data". In preparation, 2018.
  • D. Bertsimas, J. Dunn, N. Mundru. "Optimal Prescriptive Trees". To appear, INFORMS Journal on Optimization, 2018. preprint
  • D. Bertsimas, N. Mundru. "Sparse Convex Regression". Minor revision in INFORMS Journal on Computing, 2017.
  • D. Bertsimas, A. Chang, V. V. Mišić, N. Mundru. "The Airlift Planning Problem". To appear, Transportation Science, 2018. preprint
  • D. Bertsimas, A. Chang, V. V. Mišić, N. Mundru. "The Robust Airlift Planning Problem". In preparation, 2018.
Teaching Experience
  • 15.761 Introduction to Operations Management, MBA class, Fall, 2018. (Instructor: Nikos Trichakis)
  • 15.053 Optimization Methods for Business Analytics, Undergraduate class, Spring, 2016. (Instructor: James Orlin)
  • 15.071 The Analytics Edge MBA class, Spring, 2015 (Instructors: Rob Freund and John Silberholz)
  • 15.094 Robust Modeling, Optimization, and Computation Ph.D. class, Spring, 2014. (Instructor: Dimitris Bertsimas)
  • 15.071x The Analytics Edge EdX class, Summer, 2017. (Instructors: Dimitris Bertsimas and Allison O'Hair)
Talks
Upcoming
  • "Prescriptive Analytics for Observational Data" INFORMS, Nov 2018
Past
  • "Prescriptive Trees." INFORMS, Oct 2017
  • "The Robust Airlift Planning Problem." INFORMS, Oct 2017
  • "Sparse Convex Regression." INFORMS, Nov 2016
  • "Optimal Control through an Optimization lens." ISMP, July 2015