Taehooie Kim
Senior Modeler at Maricopa Association of Governments (MAG)
Phoenix, Arizona, United States
Summary
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Senior🎓
Top SchoolTaehooie Kim is a transportation data scientist and Senior Modeler with eight years of experience fusing data-driven machine learning with theory-grounded statistical models to solve large-scale, nonlinear optimization problems. Based in Phoenix, he has translated his PhD research into production-ready frameworks—developing differentiable, end-to-end modeling pipelines, a feasibility-based pro forma for real estate forecasting, and a reformed bi-level optimization to jointly model travel demand and networks. His work bridges academia and practice as a graduate researcher turned UrbanSim research scientist and current instructor at Arizona State University, notable for earning an honorable mention for his dissertation. Taehooie combines computational efficiency with systems-level thinking, often reformulating problems to make complex transportation models differentiable and scalable.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Civil Engineering, Doctor of Philosophy - PhD Civil Engineering at Arizona State UniversityMaster of Science - MS Mechanical Engineering, Master of Science - MS Mechanical Engineering at Washington State UniversityBachelor of Engineering - BE Mechatronics Robotics and Automation Engineering, Bachelor of Engineering - BE Mechatronics Robotics and Automation Engineering at Sungkyunkwan University
Github Skills (2)
automatic-differentiation5
tensorflow4
Programming languages (2)
Github contributions (5)
Taehooie/CGChoiceModel
Jul 2020 - Jul 2022
Contributions:18 commits, 16 pushes, 1 branch in 1 year 11 months
Taehooie/CGODME
Feb 2024 - Nov 2024
This is an experiment version of calibrating origin-destination matrix estimation using link traffic counts
Contributions:20 PRs, 47 pushes, 25 branches in 9 months
automatic-differentiationcomputational-graphsorigin-destination-estimationtensorflow
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