Summary
Hongzhang Shao is a research scientist with 11 years of experience applying interpretable, robust mathematical models to real-world revenue management and large-scale transportation problems. Currently at Amazon after a postdoctoral role at the University of Chicago Booth School of Business, he bridges classical optimization and modern deep learning to deliver computationally efficient solutions for pricing, assortment, demand estimation, and airline systems. His work has moved from retail-focused multi-city, multi-channel pricing projects to tackling operational challenges in transportation at scale. Known for producing practical, deployable algorithms, he pairs technical rigor from a Georgia Tech PhD in Operations Research with hands-on implementation experience from industry internships and consulting, where his optimizations produced measurable revenue and inventory gains. Outside of code, he maintains mindfulness through reading and writing, a habit that informs his clear, interpretable modeling style.
11 years of coding experience
3 years of employment as a software developer
summer session Sociology, summer session Sociology at University of California, Berkeley
Doctor of Philosophy Operations Research, Doctor of Philosophy Operations Research at Georgia Institute of Technology
Bachelor of Engineering Control Science and Engineering, Bachelor of Engineering Control Science and Engineering at Zhejiang University