Xin is an associate in the Intellectual Property group at Michael Best where he specializes in patent law with a focus in artificial intelligence (AI), machine learning (ML), and related complex technologies. As a registered patent attorney, Xin has handled a significant number of high-value AI/ML patent prosecution matters for several leading tech companies driving innovation in the AI/ML space. His knowledge in AI/ML is bolstered by a strong academic background in mathematics and statistics.
Xin's expertise covers a wide range of AI/ML and cloud computing technologies, particularly in:
- Image Processing
- Computer Vision
- Natural Language Processing
- Autonomous Systems
Xin is passionate about exploring emerging issues in intellectual property law related to AI. He has published articles on topics such as claim interpretation for AI inventions in PTAB appeals, providing in-depth technical analyses of generative AI models and their implications for copyright law, and has proposed a novel dual-system approach for addressing legal challenges arising from AI-driven activities. Additionally, he is actively engaged in AI alignment research and stays informed of policy discussions surrounding the responsible development and deployment of AI technologies.