I am a Ph.D. student in Industrial and Operations Engineering at the University of Michigan, advised by Prof. Siqian Shen. Before that, I received B.S. degrees in Industrial Engineering and Artificial Intelligence from Seoul National University.
My research focuses on optimization under uncertainty for shared mobility systems, particularly electric mobility and autonomous transportation. I am interested in how uncertainty in demand, technology, and human behavior shapes strategic planning and operational decisions in these systems.
Interests Robust optimization · Stochastic programming · Shared mobility · Electric vehicle fleets · Battery degradation
Shared fleets are large, expensive, and exposed to uncertainty in demand, energy, and vehicle condition. My research develops optimization models that make planning and operating decisions together, so that what is built matches how it will actually be run.
Electric vehicles lose usable capacity as their batteries age, and how a fleet is charged and dispatched changes how fast that happens. I model fleet sizing, charging, and dispatch jointly with degradation, and use a robust satisficing framework that targets an acceptable outcome across uncertainty instead of optimizing only for the expected or worst case. With Mengshi Lu and Siqian Shen.
Autonomous vehicles are entering ride-hailing fleets alongside human drivers, and the two have different costs, ranges, and constraints. I study how to design infrastructure and operating policies together for these mixed fleets under demand uncertainty, so that investment decisions reflect the operations they will support. With Siqian Shen and Mengshi Lu.
At Seoul National University, I applied time-series deep learning models such as FEDformer, TimesNet, and the non-stationary Transformer to battery remaining-useful-life prediction, improving prediction R² by roughly 110% through feature selection. This work is the data side of the degradation question my current research addresses with optimization. With Prof. Taesup Moon's group.
Organized two camps for more than 80 high school students and coordinated ten teaching assistants across lectures and hands-on sessions.
Tutored operations research and statistics: Markov chains, Poisson processes, renewal theory, estimation, hypothesis testing, and regression.
The full CV, including coursework and technical skills, is available as a PDF.
Download CV (PDF)Last updated September 2026.