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.