Summary
Tianyi Li is a tenure-track Assistant Professor in Intelligent Transportation Systems at Saint Louis University with nine years of experience bridging transportation engineering and machine learning. His work focuses on Transportation-Cyber-Physical Systems, traffic modeling and control, sustainable urban mobility, and safety, using data-driven and computational methods to inform future city design. He earned advanced degrees from the University of Washington and the University of Minnesota (PhD), where he combined research and teaching while developing practical smart-city solutions during an AI research internship at Futurewei. Tianyi’s background includes hands-on public-sector experience in tolling data and supply-chain transportation, giving his research a strong applied orientation. He is open to collaboration and translates transportation priors into machine-learning models to tackle real-world infrastructure challenges. An uncommon strength is his ability to move seamlessly between field data collection and algorithmic development, ensuring models remain grounded in operational realities.
9 years of coding experience
1 year of employment as a software developer
Master's degree, Master's degree at University of Washington
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Minnesota
Bachelor's degree, Bachelor's degree at Iowa State University
High School Diploma, High School Diploma at Lanzhou No.1 High School