Hanrui Wang
Cambridge, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolHanrui Wang is a PhD researcher from MIT with nine years of experience at the intersection of computer architecture, efficient AI computing, and machine learning systems. His work spans academic research and industry internships—tackling AI acceleration with sparsity at NVIDIA, hardware architecture for ML at Xilinx, and quantum-aware architectures during his MIT graduate research. He combines top academic credentials (PhD/MS from MIT with perfect grades) and a first-place engineering degree from Fudan with hands-on VLSI and energy-efficient ML design experience. Known for translating algorithmic insights into hardware-aware optimizations, he focuses on making AI compute both faster and more efficient. Based in Cambridge, MA, he maintains a public presence highlighting efficient AI computing research and tools.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, 5.0/5.0, Doctor of Philosophy - PhD, Computer Science, 5.0/5.0 at Massachusetts Institute of TechnologyBachelor of Engineering - BE, EECS, Ranking 1st in School of Engineering, 3.91/4.0, Bachelor of Engineering - BE, EECS, Ranking 1st in School of Engineering, 3.91/4.0 at Fudan University
Github Skills (63)
simulation10
pytorch10
python10
anonymous10
acceleration10
machine-learning10
numpy10
system10
parameterized10
deep-learning10
tensorflow10
gpu10
autograd10
neural-network10
quantum-computing10
Programming languages (4)
Github contributions (5)
Hanrui-Wang/KWS_kaggle
Jan 2018 - Jul 2019
Contributions:11 commits, 7 pushes, 1 branch in 1 year 6 months
mit-han-lab/torchquantum
Feb 2021 - Jan 2023
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.
Contributions:5 releases, 35 reviews, 789 commits in 1 year 11 months
quantum-circuitscircuitssimulationcomputersquantum-simulation
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