Mianzhi Wang
Software Engineer at Google
California, United States
Summary
👤
Senior🎓
Top SchoolMianzhi Wang is a software engineer at Google with a Ph.D. in Electrical and Systems Engineering and 13 years of experience bridging statistical signal processing, optimization, and machine learning. He brings deep expertise in statistical modeling of sensor arrays, asymptotic estimator analysis, and convex optimization applied to compressed sensing, sparse modeling, and optimal transport. Practically minded, he has implemented kernel methods, deep learning models, large-scale nearest neighbor search, and clustering in MATLAB and Python, and is familiar with PyTorch and TensorFlow. His research background informs production work—optimizing algorithms with attention to theoretical performance bounds while shipping scalable systems. Based in California, he combines rigorous academic training with hands-on engineering at Google, and maintains a research portfolio at research.wmz.ninja that highlights less obvious intersections of optimal transport and array signal processing.
13 years of coding experience
5 years of employment as a software developer
High School Affiliated to Nanjing Normal UniversityBachelor's Degree, Electronic Engineering, Bachelor's Degree, Electronic Engineering at Fudan UniversityDoctor of Philosophy (Ph.D.), Electrical and System Engineering, Doctor of Philosophy (Ph.D.), Electrical and System Engineering at Washington University in St. Louis
Chinese, English
Github Skills (4)
dtw10
signal-processing9
signal9
pitch9
Programming languages (3)
Github contributions (5)
morriswmz/doa-tools
Nov 2016 - Nov 2018
Contributions:38 commits, 37 pushes, 1 branch in 2 years
morriswmz/jasmal
Jul 2017 - Jan 2018
Contributions:1 release, 113 commits, 10 pushes in 6 months
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