Qiang Zhang
Data Scientist
San Antonio, Texas, United States
Summary
👤
Senior🎓
Top SchoolQiang Zhang is a data scientist with eight years of experience bridging academic research and industry practice, now applying optimization and ML expertise at USAA in San Antonio. He holds a PhD in Electrical and Computer Engineering from Texas A&M and brings deep research experience in offline optimization, convex methods, statistical machine learning, and generative neural networks. Qiang codes fluently in Python and TensorFlow and is currently exploring learned optimization procedures within diffusion processes—a niche that blends optimization theory with generative modeling. His background includes multiple graduate research and teaching roles at Texas A&M and internships in software engineering and health research, reflecting both theoretical depth and practical engineering. Colleagues describe him as someone who translates complex mathematical ideas into reproducible code and experiments, frequently moving between foundational theory and applied ML systems.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at Texas A&M UniversityMaster of Science - MS, Control theory and control engineering, Master of Science - MS, Control theory and control engineering at Zhejiang University
Github Skills (40)
speaker9
self-supervised-learning9
vivado9
fpga8
supervised-learning8
speech-synthesis8
voice-recognition8
keyword8
translation7
keyword-spotting7
speech7
whisper7
verification7
vocoder7
conformer7
Programming languages (3)
Github contributions (5)
Nathan-zh/binary_NN-wrn
Mar 2019 - Aug 2021
Contributions:25 pushes, 1 branch in 2 years 4 months
Vincent-Zh/toxic_classification
Nov 2018 - Aug 2019
Contributions:72 pushes, 1 branch in 9 months
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