Ran Liu
Research Scientist, Machine Learning at Meta
Menlo Park, California, United States
Summary
👤
Senior🎓
Top SchoolRan Liu is a machine learning research scientist based in Menlo Park with nine years of experience focused on classification, detection, and adversarial robustness. Now at Meta, Ran leverages GANs to craft efficient adversarial examples for adversarial training and emphasizes feature engineering and data quality improvements to boost model reliability. His background spans academic research during a PhD and hands-on internships at Meta, AWS, and IDeaS, giving him a strong mix of theoretical depth and production-minded engineering. Notably, he has bridged teaching and industry roles—serving as a teaching assistant while developing practical defenses against attack vectors—reflecting a talent for translating complex research into deployable solutions.
9 years of coding experience
1 year of employment as a software developer
UMBC
Github Skills (6)
flask6
python5
machine-learning4
earth4
data-driven2
data-science1
Programming languages (1)
Github contributions (5)
drranliu/drranliu.github.io
Feb 2019 - Feb 2022
Contributions:18 pushes in 3 years
drranliu/STREAMS
Jul 2017 - Jul 2019
Contributions:5 pushes, 1 branch in 2 years
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