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 computational scientist working in the Machine Learning Group within the Computational Science Initiative at BNL. His research includes developments in machine learning and natural language processing methods for scientific, data mining, and security applications. He holds 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 problems relating to interactions between people and robots in challenging environments. Prior to 2016, his name was Jesus Suarez. Outside of work, Carlos enjoys nature, film, literature, and is passionate about life-long learning and discovery.
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
