Ryan Mercer

Ryan Mercer is a lead data scientist at Neuralix Inc., where he develops AI-based solutions to improve operational efficiency and reliability in the energy sector. His work focuses on anomaly detection, predictive maintenance, and pattern recognition to support proactive asset management. He holds a BS in electrical engineering from UCLA and a PhD in computer science from the University of California, Riverside. Earlier roles include research internships at Visa, Toyota, and Form Energy and work as a test engineer at SanDisk. At Neuralix, he has led projects such as early failure detection in saltwater disposal systems, HPump energy optimization, and methane leak-localization modeling.