Boning Li
Data Scientist
Redmond, Washington, United States
Summary
👤
Senior🎓
Top SchoolBoning Li is a data scientist based in Redmond with nine years of experience applying machine learning to energy, health, networks, and computer vision problems. Currently at Microsoft, he focuses on graph neural networks to learn efficient resource allocation for wireless federated learning, building on prior internships at Microsoft and Amazon. His research portfolio spans deep algorithm unfolding, time-series feature learning, temporal signal reconstruction on graphs, and hypergraph clustering, bridging theoretical methods with practical system constraints. Trained at Rice (PhD), Duke (MS), and Harbin Institute of Technology (BE), with an exchange stint at UC Berkeley, he blends rigorous academic grounding with industry impact. Notably, he pursues cross-domain signal and structure learning approaches that transfer between communications and sensing applications, reflecting a knack for translating graph-based theory into resource-aware ML solutions.
9 years of coding experience
1 year of employment as a software developer
Exchange student, Exchange student at University of California, BerkeleyMaster of Science - MS, Master of Science - MS at Duke UniversityDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at Rice UniversityBachelor of Engineering - BE, Bachelor of Engineering - BE at Harbin Institute of Technology
Github Skills (6)
sensor7
android-client5
android3
objective-c1
swift1
ios1
Programming languages (4)
Github contributions (5)
bl166/Efficient_Person_ReID
Jan 2019 - Oct 2021
Contributions:5 commits, 12 pushes, 1 branch in 2 years 9 months
bl166/USPowerPlantDataset
Jul 2017 - Aug 2017
Contributions:22 commits, 63 pushes, 1 branch in 24 days
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.