Hui Guan
Applied Scientist at University of Massachusetts Amherst
Amherst, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolHui Guan is a machine learning and systems researcher and applied scientist who designs faster, more scalable training, inference, and serving pipelines for DNNs and Generative models. He is currently an Applied Scientist at Amazon Web Services, applying AIOps to optimize reliability and performance across cloud ML workloads. Previously, as an Assistant Professor at the University of Massachusetts Amherst, he advanced DNN model development through algorithmic design, system support, memory management, and adaptive resource control for serving systems. His work has appeared at NeurIPS, ICML, ASPLOS, EuroSys, MobiSys, and related venues, and he has earned the NSF CAREER Award (2024), the Amazon Research Award (2022), and the NCSU ECE Outstanding Dissertation Award (2020). Based in Amherst, MA, he holds a PhD in Electrical Engineering from NC State and has a proven track record of bridging academic insight and production-scale engineering to accelerate ML research and deployment.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering (BE), Electrical Engineering, 94/100, Bachelor of Engineering (BE), Electrical Engineering, 94/100 at Nanjing University of Posts and TelecommunicationsDoctor of Philosophy - PhD, Electrical Engineering, 4.0/4.0, Doctor of Philosophy - PhD, Electrical Engineering, 4.0/4.0 at North Carolina State UniversityBE, Information and Communication Engineering, BE, Information and Communication Engineering at Zhejiang University
English, Chinese
Github Skills (22)
perf6
cpu6
javascript6
memory-allocation6
profiler5
performance-tuning5
profiling5
jekyll5
deep-learning5
machine-learning5
gpu-programming5
python5
distributed-training4
performance-analysis4
memory-consumption4
Programming languages (1)
Github contributions (5)
guanh01/CS692-mlsys
Aug 2020 - Nov 2020
This is the (evolving) reading list for the seminar.
Contributions:39 commits, 1 PR, 31 pushes in 2 months
deep-learningjavascriptmachine-learningdistributed-trainingseminar
guanh01/updated_portal
Mar 2016 - Jul 2018
Contributions:6 pushes, 1 branch in 2 years 5 months
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