Yongzhou Chen
Research Scientist at Meta
Menlo Park, California, United States
Summary
👤
Senior🎓
Top SchoolYongzhou Chen is a research scientist at Meta’s Superintelligence Lab Infrastructure team with nine years of experience building large-scale distributed machine learning systems and optimizing collective communication. He completed a PhD in Computer Engineering at UIUC after researching 5G networks and edge computing, bringing deep networking and systems expertise to ML infrastructure problems. His internships at Google and Microsoft produced high-impact prototypes—advanced congestion control, smart endhost load balancing, and a multi-path data center protocol—that reduced RPC and collective communication latencies. Based in Menlo Park, he blends academic rigor with production-focused engineering, moving ideas from simulation to deployable designs. Less obvious: his background in wireless and edge systems gives him a unique perspective on latency, locality, and resource-constrained optimization in large AI clusters.
9 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Computer Science, Top 5%, Bachelor's degree, Computer Science, Top 5% at University of Science and Technology of ChinaUniversity of Illinois Urbana-Champaign
Github Skills (15)
dac9
software-defined-radio9
lte9
gnuradio9
rtl-sdr9
5g9
simulation9
wireless9
srs8
simulate8
spring3
translation2
compiler1
programming-language1
react1
Programming languages (5)
Github contributions (5)
elvinlife/dot-home
Apr 2019 - Apr 2024
Contributions:4 pushes, 1 branch in 5 years 1 month
elvinlife/RadioSaber
Nov 2021 - Mar 2023
RadioSaber is State-of-the-Art 5G RAN slicing algorithm that achieves high spectrum efficiency, ensures weighted fairness across slices, and allows slices to customize scheduling policies.
Contributions:80 commits, 17 pushes, 4 branches in 1 year 3 months
5g5g-nrsimulation
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