Liwei Zeng
About Liwei Zeng
Liwei Zeng is an Applied Research Scientist at Flexport in San Francisco, California, with a background in operations research and mathematics.
Current Role at Flexport
Liwei Zeng is currently serving as an Applied Research Scientist at Flexport in San Francisco, California. In his role, he focuses on developing machine learning models to enhance supply chain efficiency. Notably, he developed a model that significantly improved supply chain efficiency by 15%, showcasing his expertise in applied research and optimization algorithms.
Previous Academic Role at University of Minnesota
From 2020 to 2022, Liwei Zeng worked at the University of Minnesota as an IMA Postdoctoral Fellow. In this position, based in Minneapolis, Minnesota, he conducted advanced research in mathematics and its applications, building on his comprehensive background in operations research and optimization.
Internship at Amazon
In 2018, Liwei Zeng interned at Amazon as a Research Scientist in the Greater Seattle Area. Over the course of three months, he participated in research projects that contributed to Amazon's innovative approaches in data analysis and operations research, gaining valuable industry experience.
Doctor of Philosophy at Northwestern University
Liwei Zeng earned his Doctor of Philosophy (PhD) in Operations Research from Northwestern University, where he studied from 2015 to 2020. During his PhD, he published research on optimization algorithms in top-tier journals, presented at renowned conferences like the International Conference on Operations Research and Management Science in 2019, and received the Best Paper Award at the 2020 INFORMS Annual Meeting. Additionally, he mentored undergraduate students in advanced mathematics and operations research.
Bachelor's Degree at Peking University
Before his PhD, Liwei Zeng studied Mathematics at Peking University, where he completed his bachelor's degree from 2011 to 2015. This rigorous academic foundation in mathematics laid the groundwork for his subsequent specialization in operations research and optimization algorithms during his doctoral studies.