Victoria Lyu
Senior Software Engineer at Google
United States
Summary
👤
Senior🎓
Top SchoolVictoria Lyu is a Senior Software Engineer at Google with a PhD in Mathematical Statistics from UC Santa Barbara and seven years of experience bridging cutting-edge research and production ML systems. Her work centers on Gaussian Processes, sequential design for level-set estimation, and Bayesian optimization, bringing rigorous statistical inference to practical engineering problems. She has shipped ML improvements in industry internships at Dropbox and Moody’s Analytics and progressed from Software Engineer to Senior Software Engineer at Google. Comfortable moving between research and product, she combines deep probabilistic modeling expertise with hands-on implementation at scale. An uncommon strength is her background in sequential experimental design, which she leverages to make data-efficient, uncertainty-aware systems.
7 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (PhD), Mathematical Statistics and Probability, Doctor of Philosophy (PhD), Mathematical Statistics and Probability at University of California, Santa BarbaraBachelor of Science (BS), Mathematics, Bachelor of Science (BS), Mathematics at Zhejiang University
Github Skills (3)
monte-carlo6
regression5
machine-learning3
Programming languages (1)
Github contributions (5)
VictoriaLyu/mlOSP
Feb 2020 - Mar 2020
Regression Monte Carlo for Optimal Stopping
Contributions:6 PRs, 79 pushes, 5 branches in 1 month
regressionmachine-learningmonte-carlopattern-recognitionprediction-model
VictoriaLyu/gpstuff
Sep 2020 - Mar 2021
GPstuff - Gaussian process models for Bayesian analysis
Contributions:1 release, 8 pushes, 1 tag in 6 months
gaussianbayesianbayesian-analysisgaussian-process
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