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.