Zhengqi Gao
STEM Fellow at Anthropic
Cupertino, California, United States
Summary
🤩
Rockstar🎓
Top SchoolZhengqi Gao is a fourth-year PhD researcher in MIT EECS specializing in design automation for photonic integrated circuits and applied machine learning, advised by Prof. Duane Boning. He combines deep academic credentials from Fudan University with hands-on industry experience at NVIDIA, Apple, Baidu, and Shanghai Qizhi Institute, delivering production-focused ML solutions such as a 30× compressed display compensation model for Vision Pro. His work bridges adjoint methods, large-scale image translation, and multimodal learning, earning recognition including an ICLR’23 oral presentation and an editor’s highlight in Photonics Research. Unusually for an academic, he has built and scaled billion-parameter image translation models and practical LLM-based testing frameworks, demonstrating fluency across research, systems engineering, and deployment.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD EECS, Doctor of Philosophy - PhD EECS at Massachusetts Institute of TechnologyMaster of Science - MS Microelectronics Engineering, Master of Science - MS Microelectronics Engineering at Fudan University
English, Chinese
Stackoverflow
13reputation
405reached
1answer
2questions
Github Skills (70)
python8
gpu8
verilog8
bayesian8
photonics7
automation7
deep-learning7
hackage7
language-model7
swift7
derivative7
backpropagation7
simulation7
machine-learning7
cpp6
Programming languages (10)
Github contributions (5)
zhengqigao/Dr-Stanley-house
Dec 2019 - Dec 2019
Contributions:12 commits, 11 pushes, 1 branch in 1 day
zhengqigao/PRML-Solution-Manual
Nov 2017 - Apr 2021
My Own Solution Manual of PRML
Contributions:246 commits, 230 pushes, 1 branch in 3 years 5 months
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