Summary
Yue Yang is a research-focused software engineer with eight years of hands-on experience developing ML and robotics solutions, currently pursuing graduate research at Georgia Tech and a PhD at UNC Chapel Hill. Her recent work centers on life-like hand image synthesis and safe learning-from-demonstration under the supervision of noted professors, blending computer vision, simulation, and human-centered robotics. She has a strong academic record across Georgia Tech, UC San Diego, and Northeastern, and a track record of internships that span healthcare AI, multi-agent path planning, and high-speed autonomous robots that won national competition recognition. Curious and interdisciplinary by nature—“interested in everything”—she bridges theory and practice, moving projects from algorithm development to applied research. Based in Chapel Hill, she’s actively seeking research and internship opportunities where she can translate rigorous ML research into real-world robotic and healthcare applications.
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