Liang Guannan
Research Scientist at Yahoo
Greensboro, North Carolina, United States
Summary
👤
Senior🎓
Top SchoolLiang Guannan is a research scientist with nine years of experience building scalable ML and AI systems, currently applying advanced models to improve Yahoo Mail. With a Ph.D. in computer science and a strong statistics background, he has moved research innovations—sparse learning, contextual bandits, federated and private optimization—into production across academia and industry. He tackled recommender cold-start and cross-domain problems at Rakuten, developed outage prediction and forecasting systems on HPC at UConn, and led Transformer, multi-modal and continual learning solutions for fraud detection at Amazon. Liang blends deep mathematical optimization with practical engineering to ship efficient, scalable models, and he has a track record of publishing and patenting novel algorithms as well as collaborating closely with product and engineering teams. An unexpected strength is his experience deploying classical forecasting systems (WRF, CREST) alongside modern deep learning pipelines, enabling robust hybrid solutions.
9 years of coding experience
4 years of employment as a software developer
Master's Degree Statistics, Master's Degree Statistics at University of California, DavisBachelor's Degree Mathematics, Bachelor's Degree Mathematics at Zhengzhou UniversityDoctor of Philosophy (Ph.D.) Computer Science ( focus on Machine learning ), Doctor of Philosophy (Ph.D.) Computer Science ( focus on Machine learning ) at University of ConnecticutUniversity of California, Irvine
English, Chinese
Github Skills (1)
data-structures9
Programming languages (1)
Github contributions (5)
neilliang90/neilliang90.github.io
Nov 2020 - May 2024
Contributions:88 pushes, 1 branch in 3 years 5 months
neilliang90/Sadam
Aug 2019 - Aug 2019
Contributions:25 commits, 21 pushes in 27 days
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