Juan Diego Colmenares Fernandez
About Juan Diego Colmenares Fernandez
Juan Diego Colmenares Fernandez is an HPC Software Developer - Scientist IV at General Atomics in San Diego, California, where he has worked since 2021. He has a strong background in computational fluid dynamics (CFD) and holds a PhD in Mechanical Engineering from the University of New Mexico.
Work at General Atomics
Juan Diego Colmenares Fernandez has been employed at General Atomics as an HPC Software Developer - Scientist IV since 2021. In this role, he focuses on developing computational fluid dynamics (CFD) and plasma simulation codes that utilize GPU acceleration. His work enhances performance on heterogeneous high-performance computing (HPC) systems, contributing to advancements in engineering simulations.
Education and Expertise
Juan Diego Colmenares Fernandez is currently pursuing a Doctor of Philosophy (PhD) in Mechanical Engineering at the University of New Mexico School of Engineering, a program he has been involved in since 2014. He holds a Master of Science (M.Sc.) in Mechanical Engineering from Universidad de Los Andes, completed in 2014, and a Bachelor's degree in Mechanical Engineering from the same institution, achieved in 2011. His education is complemented by extensive experience in scripting languages such as Python, Matlab, and Bash, alongside proficiency in Fortran and C++.
Background
Before joining General Atomics, Juan Diego Colmenares Fernandez gained valuable experience in academia and research. He served as a Graduate Teaching Assistant at The University of New Mexico from 2015 to 2019 and worked as a Research Assistant at the same institution from 2014 to 2015. He also held positions as a Research Assistant and Teaching Assistant at Universidad de los Andes in Colombia. His postdoctoral research was conducted at Argonne National Laboratory from 2019 to 2021.
Achievements
Juan Diego Colmenares Fernandez has developed significant expertise in applying computational fluid dynamics (CFD) to various engineering fields, including rotor aerodynamics, building modeling, and internal combustion engines. He has implemented new modeling capabilities such as Fluid-Structure Interaction (FSI) and Conjugate Heat Transfer (CHT), addressing complex scientific and engineering challenges. His extensive experience includes seven years of utilizing HPC systems for large-scale CFD simulations.