Jorge A. Garcia
About Jorge A. Garcia
Jorge A. Garcia is an R&D Computer Scientist at Sandia National Laboratories, specializing in machine learning and neural networks.
Current Position at Sandia National Laboratories
Jorge A. Garcia currently holds the position of R&D Computer Scientist at Sandia National Laboratories. He has been in this role since 2020, working in Albuquerque, New Mexico. In this capacity, he leads various projects focusing on the development of Bayesian Neural Networks to quantify model uncertainty, which enhances decision-making processes. His work also includes designing machine learning experiment management routines to ensure uniform comparisons and effective model selection within test beds.
Previous Experience at New Mexico State University
Prior to his current role, Jorge A. Garcia served as a Graduate Research Assistant in the Department of Physics at New Mexico State University from 2019 to 2020. During this time, he contributed to various research initiatives and gained valuable experience in the field of physics and computational science. His responsibilities included supporting academic research projects and engaging in hands-on scientific experimentation and data analysis.
Internships at National Laboratories
Jorge A. Garcia has completed several internships at prestigious national laboratories. In 2019, he interned at Los Alamos National Laboratory for three months, which provided him with practical experience in applied physics research. In 2018, he undertook a two-month internship at Oak Ridge National Laboratory in collaboration with the University of Tennessee, Knoxville. These internships allowed him to broaden his expertise and apply his academic knowledge in real-world settings.
Education and Academic Background
Jorge A. Garcia has an extensive academic background in physics. He earned a Master of Science (MS) in Physics from New Mexico State University in 2020. Prior to that, he completed a Bachelor of Science (BS) in Physics at the same institution in 2019. During his studies, he developed a strong foundation in theoretical and applied physics, which has been integral to his research and development work.
Machine Learning Projects
Jorge A. Garcia has been involved in several significant machine learning projects. Notably, he developed a predictive pipeline using a Convolutional Neural Network to identify seismic phases in streaming data from the International Monitoring System. This project demonstrated his capability to apply advanced machine learning techniques to solve complex problems and contribute to global monitoring systems.