Carlos X. Soto
Associate Computational Scientist, Machine Learning Group, Computational Science Initiative
Brookhaven National Laboratory
Computational Science Initiative
Bldg. 725, Room 2-160
P.O. Box 5000
Upton, NY 11973-5000
(631) 344-3059
csoto@bnl.gov
Carlos Xavier Soto is a computer scientist working in the Computational Science Initiative (CSI) and the Nonproliferation and National Security (NN) Department at BNL. His research within CSI's Machine Learning Group focuses on developments and uses of 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. 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
Machine Learning
Natural Language Processing
Robotics & Human-Robot Interaction
Research Activities
Scientific Literature Mining for functional genomics, COVID-19 drug discovery, and nuclear physics
Named entity recognition and relation extraction
Automated table extraction
ML-based reverse-engineering of graphical charts
Fuel burnup prediction for novel nuclear reactors
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 2-160
P.O. Box 5000
Upton, NY 11973-5000
(631) 344-3059
csoto@bnl.gov