Summary
Mai Tien is an Assistant Professor and operations research expert with a decade of experience applying mathematical optimization, stochastic modeling, and econometrics to real-world transportation, revenue, and workforce management problems. She bridges theory and practice—developing new discrete stochastic programming results, fast estimation techniques for large network demand models, and learning- and simulation-based optimization methods used with industrial partners. Her work spans academia and applied research positions at Singapore Management University, SMART, MIT, and Canadian research chairs, and has produced award-winning dissertation and papers. Comfortable across optimization, inverse reinforcement learning, and Bayesian estimation, she often targets problems at the intersection of optimization, econometrics, and machine learning where scalable algorithms and large datasets meet. An uncommon strength is her track record of turning GPS- and retail-scale data into efficient training and planning algorithms for complex networks and queuing systems.
10 years of coding experience
4 years of employment as a software developer
Master's degree, Operations Research, Master's degree, Operations Research at University of Montreal
Doctor of Philosophy (Ph.D.), Operations Research & Transportation Modeling, Dean's honor list, Doctor of Philosophy (Ph.D.), Operations Research & Transportation Modeling, Dean's honor list at Université de Montréal
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Truòng Dai hoc Bách Khoa Hànôi
English, French