Yuwen Chang is a data scientist with a decade of experience applying machine learning, data mining, and geospatial analytics to product and research challenges across Meta and Grab. She specializes in turning spatial-temporal and behavioral data into production-ready models that improve safety, punctuality, and map accuracy for location-based services. Trained in urban data science (NYU) with a background in political sociology, she bridges social science rigor and scalable ML engineering to extract actionable insights from human mobility. At Grab she moved from core modeling to senior roles focused on deployment, and she continues that product-oriented focus at Meta. Colleagues describe her strength as combining quantitative creativity with an eye for real-world impact, often surfacing subtle social patterns in large-scale geodata.
10 years of coding experience
6 years of employment as a software developer
Visiting Student Sociology, Visiting Student Sociology at University of Wisconsin-Madison
Master of Science - MS Urban Data Science, Master of Science - MS Urban Data Science at New York University
Bachelor of Arts - BA Political Science and International Relations, Bachelor of Arts - BA Political Science and International Relations at National Taiwan University
Japanese, Thai, Spanish, Mandarin, English, Chinese
Random urban geospatial helpers that make your day easier, hopefully
Contributions:15 commits, 13 pushes, 1 branch in 2 years 3 months
geospatialgeographydaymaphelpers
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.