Carlos X. Soto
Associate Computational Scientist, AI Department, Computational Science Initiative
Brookhaven National Laboratory
Computational Science Initiative
Bldg. 725, Room 2-177
P.O. Box 5000
Upton, NY 11973-5000
(631) 344-3059
csoto@bnl.gov
Carlos Xavier Soto leads the AI Theory and Security (ATS) research group in BNL’s AI Department (AID). His work focuses on developing and using machine learning and natural language processing techniques for scientific and security applications – with a focus on safe, secure and trustworthy AI. Carlos is active in mentorship, outreach, and engagement activities with various communities and stakeholders, and takes pride in effective communication of complex ideas. He holds a PhD in Computer Engineering from Texas A&M University, where he worked on human-robot interaction research. Prior to 2016, his name was Jesus Suarez. Outside of work, Carlos is passionate about nature, film, technology, and knowledge for its own sake.
Expertise | Research | Education
Expertise
Artificial Intelligence, Machine Learning, Natural Language Processing, Robotics & Human-Robot Interaction
Research Activities
Scientific Literature Mining for functional genomics, drug discovery, nuclear physics, and isotope production. Named entity recognition and relation extraction. Automated table extraction. ML-based reverse-engineering of graphical charts. ML analysis of gamma spectra for nuclear reactor fuel burnup estimation, enrichment determination, and reactor diversion detection. AI security analysis and red teaming.
Education
PhD, Computer Engineering, Texas A&M University, 2017
BS, Computer Engineering, Texas A&M University, 2011
Brookhaven National Laboratory
Computational Science Initiative
Bldg. 725, Room 2-177
P.O. Box 5000
Upton, NY 11973-5000
(631) 344-3059
csoto@bnl.gov
