Summary
Seongjin Choi is an Assistant Professor and transportation data scientist with eight years of experience applying spatiotemporal modeling, deep learning, traffic simulation, and trajectory mining to real-world mobility problems. He holds a Ph.D. in Transportation Engineering from KAIST and has held postdoctoral appointments at McGill and KAIST before joining the University of Minnesota. Proficient in Python, R, C++, PyTorch, TensorFlow, and Microsoft Azure, he bridges rigorous research with practical implementation and cloud deployment. His work emphasizes large-scale, time-aware data representations for traffic systems, often turning complex trajectory datasets into actionable models for planning and operations. Based in Minneapolis, he combines academic rigor with hands-on coding to move transportation AI from prototypes toward deployable systems.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Civil Engineering (Transportation Data Analytics and AI), Doctor of Philosophy - PhD, Civil Engineering (Transportation Data Analytics and AI) at Korea Advanced Institute of Science and Technology