General Lab Information

Carlos X. Soto

Associate Computational Scientist, Machine Learning Group, Computational Science Initiative

Carlos X. Soto

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

Carlos X. Soto

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 X.'s Links