Nishanth Mundru

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

Contact: nmundru "at" mit "dot" edu, nishanth.mundru "at" gmail "dot" com


About Me

I am a final-year doctoral candidate at the Operations Research Center at MIT advised by Professor Dimitris Bertsimas. My primary research interest is in 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.

Other interests include:

  • two stage decision-making under uncertainty (adaptive optimization),
  • developing optimization algorithms for machine learning and statistics problems,
  • data analytics,
  • causal inference.

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.

  • D. Bertsimas, J. Dunn, N. Mundru. "Prescriptive Trees". In Preparation, 2017.
  • D. Bertsimas, N. Mundru. "Sparse Convex Regression". Submitted, 2017. (Draft)
  • D. Bertsimas, A. Chang, V. V. Mišić, N. Mundru. "The Airlift Planning Problem". Under second round review (Minor revision in Transportation Science), 2016.
  • D. Bertsimas, A. Chang, V. V. Mišić, N. Mundru. "The Robust Airlift Planning Problem". In Preparation, 2017.
Teaching Experience
  • Undergraduate: 15.053 Optimization Methods for Business Analytics Spring, 2016. (Instructor: James Orlin)
  • MBA: 15.071 The Analytics Edge Spring, 2015 (Instructors: Rob Freund and John Silberholz)
  • PhD: 15.094 Robust Modeling, Optimization, and Computation Spring, 2014. (Instructor: Dimitris Bertsimas)
  • EdX: 15.071x The Analytics Edge Summer, 2017. (Instructors: Dimitris Bertsimas and Allison O'Hair)
  • "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