Hui Guan
Applied Scientist at Amazon Web Services (AWS)
Amherst, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolHui Guan is an applied scientist and assistant professor with a decade of experience advancing the intersection of machine learning and systems to make DNN training, inference, and serving faster, more scalable, and more reliable. His work—published at NeurIPS, ICML, ASPLOS, EuroSys and others—focuses on efficient model training, context-aware inference, adaptive serving, and memory-aware system support, with recent emphasis on generative models. He leads research funded by NSF, Amazon, Adobe, Dolby, and NVIDIA and was awarded the 2024 NSF CAREER and 2022 Amazon Research awards, reflecting both academic and industry impact. Before academia he developed practical ML systems as an intern at Facebook and IBM, and he now bridges research and production as an Applied Scientist at AWS. Colleagues note his uncommon blend of systems-level engineering and algorithmic ML design that consistently moves models from prototype to high-throughput deployment.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering (BE) Electrical Engineering, Bachelor of Engineering (BE) Electrical Engineering at Nanjing University of Posts and TelecommunicationsDoctor of Philosophy - PhD Electrical Engineering, Doctor of Philosophy - PhD Electrical Engineering 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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