Summary
Huajie Qian is a Senior Algorithm Engineer with a decade of experience applying statistics and machine learning to large-scale optimization and decision-making problems. Trained as a PhD in Operations Research at Columbia and with prior MS work in applied mathematics, he blends rigorous theoretical research on stochastic simulation and optimization with practical algorithm and software development at Alibaba, targeting large-scale linear and mixed-integer problems and AIOps in cloud environments. His work spans service systems, inventory and pricing applications, and he routinely uses ML to improve optimization algorithm design—bridging research prototypes and production-grade solvers. Based in Bellevue, WA, he has a track record of turning advanced probabilistic methods into scalable solutions, and maintains an academic portfolio of projects and publications that informs his industry work.
10 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Applied and Interdisciplinary Mathematics, Master of Science - MS, Applied and Interdisciplinary Mathematics at University of Michigan
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Fudan University
Doctor of Philosophy - PhD, Operations Research, Doctor of Philosophy - PhD, Operations Research at Columbia University in the City of New York
Chinese, English