Summary
Yu Qiao is a Machine Learning Scientist III with a decade of experience applying statistical rigor and advanced ML to transportation, safety modeling, and infrastructure asset management. Holding M.S. degrees in Statistics and Transportation and pursuing a Ph.D. in Transportation, Yu blends deep quantitative methods with practical engineering experience from city transit agencies to enterprise settings like Expedia Group and NICE Actimize. He has a strong track record of turning large, messy transport and operations datasets into actionable models—ranging from crash-prediction and demand forecasting to transit signal and parking impact analyses. Based in Bellevue, WA, Yu pairs algorithm design and database savvy with hands-on deployment experience, and his GitHub-driven personal development ethos (“efforts to become the person I want to be”) suggests continuous self-improvement beyond formal research.
10 years of coding experience
9 years of employment as a software developer
Bachelor's Degree, Civil Engineering, Bachelor's Degree, Civil Engineering at Nanjing University of Technology
Master of Science (M.S.), Transportation and Highway Engineering, 3.82, Master of Science (M.S.), Transportation and Highway Engineering, 3.82 at Purdue University
Chinese, English