Fabio Andrijauskas, Ph.D.
About Fabio Andrijauskas, Ph.D.
Fabio Andrijauskas, Ph.D., is a Senior Software Developer at the San Diego Supercomputer Center, with extensive experience in high-performance computing and programming. He has held academic positions and contributed to research in image processing and molecular dynamics.
Work at San Diego Supercomputer Center
Fabio Andrijauskas has been employed as a Senior Software Developer at the San Diego Supercomputer Center since 2021. In this role, he contributes to the development and support of high-performance computing systems. His work focuses on enhancing computational capabilities and ensuring efficient resource management within the center.
Education and Expertise
Fabio Andrijauskas holds a Doutorado in High Performance Computing and Molecular Dynamics from Universidade Estadual de Campinas, completed between 2014 and 2019. He also earned a Mestrado in High-performance Computing and Image Processing in 2012. Additionally, he obtained a degree in Computer Science from Universidade São Francisco from 2004 to 2007. His educational background supports his expertise in programming languages such as C, Java, and Python, with a focus on machine learning and numerical packages.
Background
Fabio Andrijauskas has a diverse professional background in academia and high-performance computing. He served as a Professor at Universidade Estadual de Campinas from 2013 to 2021, where he led high-performance computing initiatives. He also taught at DeVry I Metrocamp from 2017 to 2019 and at FAAT School from 2008 to 2011. Currently, he continues to teach at Universidade São Francisco since 2009.
Achievements in High-Performance Computing
Fabio Andrijauskas is recognized for managing one of the largest computational resources in Brazil at the UNICAMP Physics Institute. His extensive experience in high-performance computing environments is complemented by his research focus on image processing, solar images, and molecular dynamics during his Master's and Ph.D. studies. He possesses advanced skills in parallel programming and computer cluster management.
Technical Skills and Proficiencies
Fabio Andrijauskas has developed a strong technical skill set that includes proficiency in LaTeX for document preparation and experience with Arduino for various projects. He is skilled in parallel programming using OpenMP, CUDA, and MPI. His expertise extends to managing GNU/Linux systems and utilizing job scheduling systems such as Torque, PBS Pro, and Slurm.