Liaoruo Wang
Principal Member Of Technical Staff at Oracle
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolLiaoruo Wang is a Principal Member of Technical Staff at Oracle with nine years of industry experience and a Ph.D. in Electrical and Computer Engineering from Cornell. She has progressed through technical roles at Oracle since 2012, applying deep research expertise in graph models, community detection, information diffusion, and recommendation systems to large-scale production problems. Her doctoral work focused on scalable algorithms for dynamic social networks, blending theoretical guarantees with empirical evaluation—skills she now uses to bridge research and product engineering. Based in the San Francisco Bay Area, she brings strong foundations in signal processing and network science from Tsinghua and UMass Amherst to cloud-scale enterprise systems. Colleagues value her for turning complex data-mining concepts into efficient, deployable solutions that track evolving user communities over time. Notably, her background suggests a rare combination of algorithmic rigor and long-term product-focused system design within a major software organization.
9 years of coding experience
10 years of employment as a software developer
Ph.D. Electrical and Computer Engineering, Ph.D. Electrical and Computer Engineering at Cornell UniversityM.S. Electrical and Computer Engineering, M.S. Electrical and Computer Engineering at University of Massachusetts AmherstB.S. Electronic Engineering, B.S. Electronic Engineering at Tsinghua University
Chinese, English, Italian
Github Skills (4)
graphical-models9
probabilistic-graphical-models9
probabilistic9
machine-learning7
Programming languages (1)
Github contributions (1)
ermongroup/cs228-notes
Apr 2017 - May 2017
Course notes for CS228: Probabilistic Graphical Models.
Contributions:3 commits, 3 pushes, 2 branches in 23 days
notesgraphical-modelsmachine-learninggraphicalprobabilistic-graphical
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