Julien Grand-Clément

PhD Candidate
Industrial Engineering and Operations Research Department
500 West 120th Street
New York, NY 10027

Email: jg3728@columbia.edu

My resume.

Research interests: Healthcare Operations, Optimization, Learning & Uncertainty in Decision Making, Markov Models.


In the academic year 2020/2021, I will be applying to faculty positions in Operations Research departments and Business schools. I am also interested in postocs, both in the industry and the academic world.

During the summer 2020, I am joining the Supply Chain and Operations Technology team at Amazon Research in New York City.

In the Spring 2020, I was awarded the Deming Fellowship for my work on healthcare operations.

About me

I am a fourth-year PhD candidate in the IEOR Department at Columbia University. I work with my advisor Prof. Vineet Goyal and Prof. Carri W. Chan (Columbia Business School) on decision making under parameter uncertainty, with an emphasis on applications in healthcare.

Prior to joining Columbia, I graduated from Ecole Polytechnique in 2016 with an MS and BS in Optimization and Algorithms.

Publications, Working Papers and Talks

  • Scalable First-Order Methods for Robust MDPs, submitted to NeurIPS 2020.
  • (joint with Christian Kroer.)

  • A First-Order Approach to Accelerated Value Iteration, submitted to SIAM Journal of Optimization.
  • (joint with Vineet Goyal.)

    Foundation of Data Science - Poster Session, Data Science Institute, Columbia University, New York, NY, February 2020

  • Robust Policies For Proactive ICU Transfers, submitted to Operations Research (slides here and poster here).
  • (joint with Carri W. Chan, Vineet Goyal and Gabriel Escobar.)

    INFORMS Annual Meeting, Seattle, October 2019

    International Conference on Stochastic Programming (ICSP) - Trondheim, Norway, July 2019

    INFORMS Healthcare Meeting, MIT, Boston, July 2019

    Manufacturing and Service Operations Management (MSOM), Singapore National University, Singapore, June 2019

    NYC Ops Day - Poster Session, Columbia University, New York, NY, March 2019

    Health Analytics - Poster Session, Data Science Institute, Columbia University, New York, NY, January 2019

    Foundation of Data Science - Poster Session, Data Science Institute, Columbia University, New York, NY, November 2018

    Data Science Day - Poster Session, Columbia University, New York, NY, March 2018

  • Robust Markov Decision Process: Beyond Rectangularity, submitted to Mathematics of OR (video and slides from BIRS).
  • (joint with Vineet Goyal.)

    Winner of Ecole Polytechnique’s Grand Prize of research internship 2019

    BIRS workshop - Models and Algorithms for Sequential Decision Problems under Uncertainty, Banff, AB, January 2019

    Princeton Day of Optimization - Poster Session, Princeton University, Princeton, NJ, September 2018

    International Symposium on Mathematical Programming (ISMP), Bordeaux, France, July 2018

    INFORMS Optimization Meeting, Denver, CL, March 2018

    INFORMS Annual Meeting, Houston, TX, October 2017

  • The Operator Approach to Entropy Games, appeared in Symposium on Theoretical Aspects of Computer Science (STACS) 2017.
  • (joint with Stephane Gaubert, Marianna Akian, and Jeremie Guillaud.)
    Paper version here; accepted, appeared in Theory Of Computing Systems (1432-4350), May 2019.


Teaching Assistant, Columbia University, 2016 - present, undergraduate & graduate courses.

Convex Optimization (IEOR 6616).
Advanced Optimization (IEOR 4004).
Dynamic Pricing & Revenue Management (IEOR 4601).
Game Theoretic Models of Operations (IEOR 4407).
Operations Management (IEOR 4000).

Mathematics Oral Examiner, Lycee Saint-Louis, Spring 2015, undergraduate level.

A few writings: a novel inspired from Brutus' life, one from Erostrate's life, an evening at the theater...
... and translations: a selection from Chekhov's novels, plays and articles (Oncle Vania, La chambre numéro six, La fiancée, Une plaisanterie, a few articles about theater) and Sergei Yesenin's short writings and poems.