Xinyang Yi is a Senior Technical Advisor for AI Capability Assessment for the Recursive Self Improvement Initiative at the Institute for Security and Technology. He is a Staff Machine Learning Engineer with over 10 years of experience in artificial intelligence, machine learning, and large-scale AI system development. He specializes in AI model evaluation, capability assessment, LLM benchmarking, AI safety testing, and building rigorous evaluation frameworks for advanced AI systems. He worked at Google DeepMind, Xinyang focuses on analyzing frontier AI capabilities, developing evaluation methodologies, and collaborating with research and engineering teams to improve the reliability, safety, and understanding of emerging AI technologies. He holds a Ph.D. in Electrical and Computer Engineering from The University of Texas at Austin and has extensive experience bridging AI research with practical engineering solutions.