Ruijiang Gao
Assistant Professor at The University of Texas at Dallas
Richardson, Texas, United States
Summary
👤
Senior🎓
Top SchoolRuijiang Gao is an assistant professor and machine learning researcher with nine years of experience bridging academic rigor and industry impact. He holds a PhD-level background in Management Information Systems from UT Austin and an MS in Statistics from the University of Michigan, and has blended that statistical depth with applied work at Netflix, IBM, Tencent, and Amazon. His recent roles span academic research and high-impact industry internships, including a Netflix ML research internship and a visiting researcher stint at Harvard Business School, signaling expertise in production ML and interdisciplinary applications. Based in Richardson, Texas, he is actively seeking full-time opportunities where he can translate cutting-edge research into scalable data-driven products. Notably, his trajectory reflects a rare combination of top-tier statistical training and hands-on experience across both Chinese and US tech ecosystems.
9 years of coding experience
1 year of employment as a software developer
Doctor's Degree, Management Information Systems, General, Doctor's Degree, Management Information Systems, General at The University of Texas at AustinMaster’s Degree, Statistics, 4.0/4.0, Master’s Degree, Statistics, 4.0/4.0 at University of MichiganBS, Statistics, BS, Statistics at University of Science and Technology of ChinaGithub contributions (5)
ruijiang81/ruijiang81.github.io
Aug 2021 - Jan 2025
Github Pages template for academic personal websites
Contributions:208 pushes, 3 branches in 3 years 5 months
templatejekyllgithub-pages-template
ruijiang81/hai-blbf
May 2021 - Mar 2022
Contributions:8 commits, 7 pushes, 1 branch in 10 months
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