Julian Andrej
About Julian Andrej
Julian Andrej is a Postdoctoral Researcher at Lawrence Livermore National Laboratory, specializing in programming and mathematics within electrical engineering. He holds multiple degrees from Kiel University, including a Doctor of Philosophy in Philosophy, and has experience in high-performance computing and open-source software development.
Work at Lawrence Livermore National Laboratory
Julian Andrej has been employed as a Postdoctoral Researcher at Lawrence Livermore National Laboratory (LLNL) since 2019. He works within the Center for Applied Scientific Computing, focusing on the development of codes for next-generation high-performance computing hardware. His role involves contributing to real-world scientific problem-solving through programming and mathematics, specifically in the field of electrical engineering. His work on open-source software projects MFEM and SUNDIALS supports LLNL's mission to address complex scientific challenges.
Education and Expertise
Julian Andrej holds multiple degrees from Kiel University in Germany. He earned a Bachelor’s degree in Business Administration and Engineering from 2009 to 2013, followed by a Master’s degree in Electronics Engineering from 2013 to 2015. He completed his Doctorate in Philosophy from 2016 to 2019. His educational background provides a strong foundation in both engineering principles and philosophical inquiry, enhancing his analytical skills in research.
Background
Julian Andrej's professional journey began with internships and student positions at Raytheon Anschuetz in Kiel, Schleswig-Holstein, Germany. He worked as an intern from 2012 to 2013 and later as a working student from 2013 to 2015. His experiences at Raytheon Anschuetz contributed to his practical knowledge in engineering and prepared him for advanced research roles. He has been a Graduate Student Researcher at Kiel University since 2016.
Achievements
Julian Andrej has made significant contributions to the field of electrical engineering through his research and development work. His involvement with MFEM and SUNDIALS open-source software illustrates his commitment to advancing high-performance computing. He finds fulfillment in contributing to projects that have a clear impact, reflecting his dedication to applying his expertise to solve scientific problems.