Our ExFAB Seminar Series had our latest speaker, Dr. Ming Wang from UC Riverside. Dr. Wang is an ExFAB Strategic Scientific Lead, who gave a cross-campus seminar open to the broad ExFAB community. The talk, titled: " Scaling Computational Metabolomics To Repository Big Data - Data Engineering for Agentic Discovery" introduced the concept of the Everything Bagel (EB) feature finder, a scalable, ultra-fast automated framework designed to transform raw MS1 signals into AI ready data for discovery. Also, Ming discussed how this tool has been scaled to pre-process millions of samples in days. Further, he showed a proof of principal approaches on how his team has been able to solve new structures from this dark matter with agentic AI systems. Together, they hope this enhances the value of metabolomics data and accelerates discoveries in this space.