Tao Gao
Algorithm Engineer at Alibaba.com
Beijing, China
Summary
👤
Senior🎓
Top SchoolTao Gao is an algorithm engineer based in Beijing with 14 years of experience building large-scale distributed algorithms for recommendation, CTR, and prediction systems. He combines a strong theoretical foundation in probabilistic graphical models, high-dimensional statistics, and mathematical probability (Renmin University) with hands-on production work at Alibaba and Baidu, where he delivered time-series prediction, anomaly detection, and platform-level prediction tooling. Currently focused on distributed tensor decomposition at Alibaba’s Institute of Data Science & Technology, he applies advanced statistical methods to improve recommender and advertising systems. Notably, he bridges rigorous research and practical deployment across inhomogeneous data and distributed environments, making him adept at turning complex probabilistic ideas into scalable engineering solutions.
14 years of coding experience
1 year of employment as a software developer
Master's Degree, Mathematical Statistics and Probability, 3.84/4, Master's Degree, Mathematical Statistics and Probability, 3.84/4 at Renmin University of ChinaBachelor of Science (B.S.), Statistics, 90.8/100, Bachelor of Science (B.S.), Statistics, 90.8/100 at Central South University
Chinese, English
Github Skills (49)
portable10
gbm10
xgboost10
dataflow10
machine-learning10
distributed-systems10
java10
gradient10
boosting10
scalable10
r9
spark9
parallel9
gradient-boosting9
python9
Programming languages (3)
Github contributions (5)
joegaotao/highDim
Jul 2013 - Mar 2014
Contributions:4 commits in 8 months
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