Eduardo Treviño

Eduardo Treviño is a dedicated data scientist and AI research engineer with extensive experience in advanced machine learning, deep learning, and nuclear safety applications. Currently employed at Idaho National Laboratory, key achievements include creating a novel generative adversarial network to expand satellite image datasets and developing real-time predictive models for reactor power levels. Previously led machine learning research at the University of Michigan, focusing on deep neural networks and natural language processing, while contributing to the optimization of computational algorithms. Eduardo also has experience in automation engineering with a focus on cybersecurity at The University of Texas at San Antonio and data collection at the U.S. Census Bureau. Eduardo is currently pursuing a master's degree in computer science at Carnegie Mellon University, having earned a bachelor's degree in artificial intelligence from The University of Texas at San Antonio.