MASSACHUSETTS INSTITUTE OF TECHNOLOGY

Ph.D. in Transportation, 5.0/5.0, 2019/09 - present

• COURSE WORK:

  • OPTIMIZATION: 6.251 Introduction to Mathematical Programming (A+), 6.252 Nonlinear Optimization, 15.094 Robust Modeling, Optimization & Computation, 15.083 Integer Programming and Combinatorial Optimization

  • MACHINE LEARNING: 6.867 Machine Learning, 15.095 Machine Learning under Modern Optimization Lens, 1.267 Statistical Learning in Operations

  • TRANSPORTATION: 1.200 Transportation Systems Analysis, 1.205 Advanced Demandd Modeling, 1.208 Resilient Networks

  • MATHEMATICS: 1.203 Applied Probability & Stochatics Models, 6.436 Fundamentals of Probability

• RESEARCH SUMMARY:

  • Robust shared mobility operations (matching & rebalancing) considering demand and travel time uncertainty

  • Robust public transit network design and dynamic transit assignment

  • Bus performance evaluation and visualization

  • Joint system design of public transit system and shared mobility system

  • Integration of people and freight mobility

• HONOR:

  • Runner Up Award (2nd Place), Amazon Last-Mile Routing Research Challenge. [Amazon Science] [MIT News]

  • Finalist, 2021 TRB Innovations in Transit Performance Measurement Challenge.

CORNELL UNIVERSITY

M.S., Transportation Systems Engineering, 4.1/4.0, 2017/09 - 2019/05

• COURSE WORK:

  • OPERATION RESEARCH : Transportation Systems & Network, Computational Optimization, Optimization, Design of Online Marketplaces

  • COMPUTER SCIENCE : Analysis of Algorithms, The Structure of Info Networks, Objective-Oriented Programming & Data Structure

• TEACHING EXPERIENCE:

  • Introduction Analysis of Algorithms : 2018 Spring with Professor Robert Kleinberg

  • Uncertainty Analysis in Engineering : 2018 Fall with Professor Jery Stedinger

• RESEARCH SUMMARY:

  • Solved school bus routing problem via a compressed shareability network framework.

  • Proposed Column Generation method to solve the Vehicle Routing Problem with Time Window (VRP-TW).