Summary
Yue Yang is a research-focused software engineer and PhD candidate known for turning machine learning and robotics research into practical systems. As a Research Assistant at Georgia Tech and a PhD student at UNC Chapel Hill, Yue combines advanced CS study with hands-on experimentation across ML, AI in healthcare, and autonomous robotics. With eight years of research experience and prior internships at UC San Diego, HKU, Northeastern CN, and WaterMirror, Yue has worked on ML algorithms, multi-agent path planning, and high-speed obstacle avoidance for mobile robots. A notable achievement is a project that was awarded the first prize in the 14th NXP Cup National University Students Intelligent Car Race. Based in Chapel Hill, NC, Yue is actively seeking research and internship opportunities to apply rigorous academic training to real-world AI challenges.
8 years of coding experience
Doctor of Philosophy - PhD, Computer Science, 4.0/4.0, Doctor of Philosophy - PhD, Computer Science, 4.0/4.0 at The Graduate School at the University of North Carolina at Chapel Hill
Master of Science - MS, Computer Science, 3.92/4.0, Master of Science - MS, Computer Science, 3.92/4.0 at Georgia Institute of Technology
Bachelor of Engineering - BE, Software engineer(International Class(English)), 90/100, Bachelor of Engineering - BE, Software engineer(International Class(English)), 90/100 at Northeastern University (CN)
University of California, San Diego