Humphrey Shi is a leader in high-performance AI with 10+ years of experience bridging academic research and product-scale engineering. Currently Vice President of High Performance AI at NVIDIA and an Associate Professor at Georgia Tech, he builds multimodal, agentic systems that unify models, kernels, compilers, and hardware across the stack. His career spans founding and scaling Picsart AI Research, winning major computer vision competitions, leading large interdisciplinary teams, and securing competitive grants from NIH/NSF and industry partners. He has deep roots in academia (PhD ECE, UIUC) and industry research at IBM and Jump Trading, applying deep learning to vision, medical imaging, and financial data. Known for “build a bit every day,” he balances fast iteration with rigorous publication and mentorship, supervising extensive graduate research programs. Based in Atlanta, he’s as comfortable optimizing GPU kernels as he is teaching the next generation of AI engineers.
10 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD) Electrical & Computer Engineering, Doctor of Philosophy (PhD) Electrical & Computer Engineering at University of Illinois Urbana-Champaign
Bachelor's degree Engineering Physics, Bachelor's degree Engineering Physics at Tsinghua University
Agriculture-Vision Dataset, Challenge and Workshop (CVPR 2020)
Contributions:22 commits, 2 PRs, 18 pushes in 11 months
visionworkshopdeep-learningcvpr-2020dataset
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