Summary
Hanzhang Qin is an applied researcher and assistant professor who blends machine learning, operations research, and statistics to build data-driven optimization frameworks for real-world supply chain and retail problems. With a PhD from MIT and nine years of industry and research experience—from leading production-focused projects at Amazon, Blue Yonder, and Accenture to co-founding ORAI China, a 100,000+ subscriber OR/OM community—he translates advanced algorithms into deployable decision-support tools. His work spans robust and distributionally aware models, stochastic vehicle routing heuristics with theoretical guarantees, and practical inventory and workforce-planning systems that have cut costs in production settings. Based in Cambridge with roots in Singapore and Tsinghua, he pairs deep theoretical training (MIT MathWorks Prize winner) with a knack for communicating complex quantitative ideas to broad audiences.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Electrical Engineering and Computer Science, Transportation, Master of Science - MS, Electrical Engineering and Computer Science, Transportation at Massachusetts Institute of Technology
Shanghai Weiyu High School
Bachelor's degree, Industrial Engineering, Mathematics, Bachelor's degree, Industrial Engineering, Mathematics at Tsinghua University
madarine, English, German