Research interests:

Data-driven optimization; Simulation; Robust optimization; Revenu management; Mixed integer linear/nonlinear programming; Discrete choice modelling; dynamic programming; non-linear optimization.


  1. 2017 - now: Postdoctoral fellow, CN Chair in Optimization of Railway Operations, and IVADO
  2. 2016 - 2017: Postdoctoral fellow, GERAD, Department of Mathematical and Industrial Engineering, Polytechnique Montreal
    Under Canada Excellence Research Chair in Data Science for Real-Time Decision-Making.
  3. 2013 - 2016: Ph.D. in Operations Research, Department of Computer Science and Operation Research, University of Montreal.
    Dynamic programming approaches for estimating and applying large-scale discrete choice models. [pdf][Extended abstract]
    Advisors: Emma frejinger and Fabian Bastin.
    Dissertation Committee: Pierre L'Ecuyer (chair, UdeM), Patrice Marcotte (UdeM), Hani Mahmassani (Northwestern University).
  4. Nov - Dec, 2015: Visiting Scholar,
    Intelligent Transportation Systems laboratory, Massachusetts Institute of Technology.
  5. 2010 - 2012: M.Sc. in Operations Research, Department of Computer Science and Operation Research, University of Montreal.
    Revisiting optimization algorithms for maximum likelihood estimation.
    Advisors: Fabian Bastin and Michel Toulouse.
  6. 2004 - 2009: B.Sc. in Computer Science,
    School of information & communication technology
    Hanoi University of Technology, Viet Nam, June, 2009
[Academic CV]
[Professional CV]

Selected Awards

  1. 2016 INFORMS-TSL Dissertation Prize (1st place) (The oldest and most prestigious honor for doctoral dissertations in the transportation science and logistics area)
  2. 2016 Eric Pas Dissertation Prize (1st place) (Annual prize recognizing the best doctoral dissertations in the area of travel behaviour research)
  3. PhD thesis on Dean's honor list, Faculty of Graduate and Postdoctoral studies (FESP), University of Montreal, May 2017.
  4. Graduate Student Best Paper Award, 3rd Symposium of the European Association for Research in Transportation, September 2014.
  5. J.A. Bombardier Excellence Award, FESP - UdeM, September 2015.
  6. Michael-Florian Scholarship, CIRRELT - Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (December 2015).

Papers in refereed jounals

  1. Bastin F., Liu Y., Cirillo C., Mai T., Transferring Time-Series Discrete Choice to Link-based Route Choice in Space: Estimating Vehicle Type Preference Using Recursive Logit Model, forthcoming, Transportation Research Record.
  2. Mai T., Fosgereau M., Frejinger E., A nested recursive logit for route choice analysis, Transportation Research Part B, 71(1):p.100-112, 2015.
  3. Mai T., Frejinger, E., Bastin, F., A misspecification test for logit based route choice models, Economics of Transportation, 4(4):p.215-226, 2015.
  4. Mai T., A method of integrating correlation structures for a generalized recursive route choice model, Transportation Research Part B, 93(1):p.146-161, 2016.
  5. Mai T., Bastin F., Frejinger E., A decomposition method for estimating complex recursive logit based route choice models, EURO Journal on Transportation and Logistics (2015): 1-23.
  6. Mai T., Frejinger E., Fosgerau M., Bastin F., A dynamic programming approach for quickly estimating large network-based MEV models, Transportation Research Part B: Methodological 98 (2017): 179-197.
  7. Zimmermann M., Mai T., Frejinger E. Bike route choice modeling using GPS data without choice sets of paths, Transportation Research Part C: Emerging Technologies 75 (2017): 183-196.
  8. Mai T. , Frejinger, E., Bastin, F. On the similarities between random regret minimization and mother logit: the case of recursive route choice models, Journal of Choice Modeling, forthcoming.

Representative working papers

  1. Mai T., Frejinger E. On the nested fixed point algorithm for recursive route choice models .
  2. Mai T., Lodi A. Solving large-scale competitive facility location under random utility maximization models. [Technical Report:PDF]
  3. Mai T., Bastin F., Toulouse M. Structured quasi-Newton techniques for maximum likelihood estimation. [Technical Report:PDF]
  4. Mai T., Yu X., Gao S., Frejinger E. A recursive routing policy choice model for stochastic networks.
  5. Mai T., Ta T.A., Bastin F., l'Ecuyer P. Multi-skills staffing optimization via simulation, nonlinear regression and linear programming.
  6. Mai T., Lodi A., Assortment optimization under parametric choice models.
  7. Mai T., Lodi A.,. Robust maximum capture under random utility models.
  8. Mai T., Ta T.A., Bastin F., l'Ecuyer P., Sample average approximation for discrete two-stage stochastic programs.


  1. Canada Excellence Research Chair in Data Science for Real-Time Decision-Making
  2. Intelligent Transportation Systems Lab, MIT
  3. La Chaire CN en intermodalité des transports
  4. Centre interuniversitaire de recherche sur les reseaux d'entreprise, la logistique et le transport (CIRRELT)
  5. Department of Computer Science and Operation Research
  6. Thuy Anh Ta (my wife - Ph.D. student at DIRO)

triple effort