Qinghao Hu
Postdoctoral Researcher at Massachusetts Institute of Technology
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolQinghao Hu is a postdoctoral researcher at MIT with eight years of experience building and optimizing deep learning systems. Previously a Research Assistant Professor at Nanyang Technological University and a Ph.D. candidate in Computer Science there, he focuses on making ML models and infrastructure more reliable and performant. Trained in electrical and electronics engineering at NUS and Zhejiang University, he brings a hardware-aware perspective to software-centric ML problems. Based in Cambridge, MA, he blends academic rigor with practical system-building, aiming to close gaps between research prototypes and production ML stacks. His GitHub motto — “Building better ML Systems” — reflects a consistent emphasis on tooling and reproducibility rather than only novel models. Colleagues describe him as a researcher who optimizes both models and the pipelines that serve them.
8 years of coding experience
1 year of employment as a software developer
Bachelor, Electrical and Electronics Engineering, Bachelor, Electrical and Electronics Engineering at Zhejiang UniversityPh.D. Candidate, Computer Science, Ph.D. Candidate, Computer Science at Nanyang Technological UniversityMaster, Electrical and Electronics Engineering, Master, Electrical and Electronics Engineering at National University of Singapore
Github Skills (93)
parallel10
python10
transformer-models10
ray10
optimization10
model-compression10
reinforcement-learning10
interpretable-machine-learning10
nas10
pytorch10
machine-learning10
large-language-models10
ranking10
llm-inference9
scale9
Programming languages (6)
Github contributions (5)
S-Lab-System-Group/HeliosArtifact
Jul 2021 - Sep 2022
Contributions:1 release, 3 commits, 2 pushes in 1 year 2 months
S-Lab-System-Group/HeliosData
Jul 2021 - Sep 2022
Contributions:1 release, 3 commits, 2 pushes in 1 year 2 months
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