Summary
Yanbing Wang is a machine learning engineer with 8 years of experience building and deploying real-time models and scalable ML frameworks for transportation and autonomous systems. He combines academic rigor—a Vanderbilt Ph.D. and roles as a postdoc and assistant professor—with hands-on engineering, having led development of large-scale traffic sensing systems (I-24 MOTION) and optimization-driven vehicle control frameworks tied to multi-million dollar initiatives. Yanbing has driven system performance improvements (5x runtime gains), secured substantial research funding as a PI, and co-authored patents and applied solutions in industry internships with Toyota and Mitsubishi. Now based in the Greater Phoenix Area and working on AI for customer intelligence at GEICO, he brings a rare blend of field-deployed ML, systems engineering, and policy-facing collaboration across academia, national labs, and OEM partners.
9 years of coding experience
10 years of employment as a software developer
Ph.D, Civil Engineering, Ph.D, Civil Engineering at Vanderbilt University
Bachelor of Science (B.S.), Bachelor of Science (B.S.) at University of Illinois Urbana-Champaign
English, Chinese