Yao Fehlis is an experienced machine learning engineer specializing in generative and agentic AI. She previously led AI at Artificial, Inc., where she led the development of multi-agent platforms for laboratory automation, and held technical leadership roles at AMD and KUKA Robotics. Yao serves on technical committees for AI for Science at major conferences including NeurIPS, ICLR, and SuperComputing, and is the AI Track Chair for SLAS 2026. She earned her PhD in Computational Chemistry from Rice University