Qi Xin

Qi Xin is an accomplished researcher with experience in applied research and machine learning. As an Applied Researcher PhD Intern at eBay from June 2023 to August 2023, Qi Xin developed a novel transformer-based encoder and enhanced self-supervised learning algorithms, notably improving fraud detection performance by 25% in semi-supervised scenarios. Prior to this, Qi Xin served as a Research Scientist Intern at Meta from July 2025 to August 2024, where a real-time pipeline for hand pose prediction was pioneered, resulting in significant reductions in estimation errors through personalized online learning. Academic credentials include a Bachelor of Science in Physics from the University of Science and Technology of China and a PhD in Statistics and Neural Computation from Carnegie Mellon University.