Dr. Carlos Xavier Soto is a computer scientist working in the Computational Science Initiative (CSI) and the Nonproliferation and National Security (NN) Department at Brookhaven National Lab. His research within CSI's Machine Learning Group focuses on developing and using machine learning and natural language processing models for scientific, data mining, and security applications. Within NN's Radiation Detection and Emerging Safeguards Technologies Group, he works on computational and machine learning techniques to enhance nonproliferation efforts and enable new technologies supporting national security. He has a PhD in Computer Engineering from Texas A&M University, where he worked in the Center for Robot-Assisted Search and Rescue (CRASAR) research lab on human-robot interaction in challenging environments. At BNL, Carlos enjoys building new collaborations and engaging in community outreach. Outside of work, Carlos is also passionate about nature, film, technology, and knowledge for its own sake.