Zhengqi Gao
Research Assistant at Massachusetts Institute of Technology
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
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
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 (85)
language-modeling9
nlp8
cabal8
hackage8
python8
deep-learning8
gpu8
verilog8
machine-learning8
transformer-architecture8
simulator7
photonics7
cpp7
numpy7
swift7
Programming languages (7)
Github contributions (5)
zhengqigao/zhengqigao.github.io
Feb 2021 - Nov 2022
Contributions:141 commits, 226 pushes, 6 branches in 1 year 9 months
zhengqigao/Dr-Stanley-house
Dec 2019 - Dec 2019
Contributions:12 commits, 11 pushes, 1 branch in 1 day
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