Zhenqi Lu is a Senior Data Scientist with a Ph.D. in Electrical Engineering from Washington University in St. Louis and over a decade of experience applying machine learning, network science, and compressed sensing to real-world problems. He has been a key modeler and program manager for card portfolio risk at Discover Financial Services and now continues advanced analytics work in Shanghai, blending production-ready Python/SQL/SAS skills with rigorous research instincts. Comfortable bridging research and product, he specializes in generative AI and sparsity-driven methods, often translating theoretical ideas from his INSPIRE lab background into robust risk models. Known for curiosity and fast learning, he pairs deep signal-processing expertise with practical delivery across enterprise risk and fintech contexts.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Electrical and Electronics Engineering, Doctor of Philosophy - PhD Electrical and Electronics Engineering at Washington University in St. Louis
Master of Science - MS Electrical and Electronics Engineering, Master of Science - MS Electrical and Electronics Engineering at Shanghai Jiao Tong University
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