Travel Behavioral Informatics
TR-GY 7073/CUSP-GX 9113A, NYU | 2024-2025
Teaching Assistant
Four TA Sessions: Introduction to R; Statistics and regression models in R; Discrete choice models in R; Agent-based mixed logit model in Python. One review session per week for lectures and assignments.
Planning Global Cities
URPL-GP 2250, NYU | 2025
Guest Lecturer
Two lectures on analyzing global cities using Safegraph and Twitter data.
Discrete Choice Modeling for Travel Behavior Analysis
C2SMART Student Learning Workshop, NYU | 2025
Instructor
Introduce the decision theory of random utility maximization and discrete choice models (DCMs). Introduce how to build DCMs with long-shape and wide-shape choice datasets in R and Python.