Noah Evans
About Noah Evans
Noah Evans is a Member of Technical Staff at Sandia National Laboratories, specializing in low-level language processing tools and novel kernel abstractions.
Company
Noah Evans is currently a Member of Technical Staff at Sandia National Laboratories, a position he has held since 2016. Sandia National Laboratories is a renowned research and development organization specializing in national security, energy, and environmental solutions. Based in Albuquerque, New Mexico, Sandia is known for its cutting-edge scientific contributions.
Previous Work Experience
Before joining Sandia National Laboratories, Noah Evans accumulated extensive experience in multiple prestigious organizations. From 2014 to 2016, he served as a Member of Technical Staff at the New Mexico Consortium. Earlier, he was a Research Engineer at Alcatel-Lucent Bell Labs in Antwerp, Belgium from 2009 to 2014. Before that, he held positions at IBM as a Research Coop, MDE Corporation as a Programmer, and NTT Communication Science Laboratories as an Intern. He also worked as a Research Intern at NTT.
Education and Expertise
Noah Evans holds a Masters in Natural Language Processing from Nara Institute of Science and Technology, achieved from 2006 to 2008. He also earned a BA in Computer Science and Philosophy from Case Western Reserve University between 2001 and 2003. Additionally, he studied International Studies at Waseda University as a part of a study abroad program. His undergraduate studies in Computer Science and Philosophy were completed at Knox College. Noah's educational background is complemented by his secondary education from Concord Academy.
Technical Skills
Noah Evans has demonstrated expertise in writing low-level language processing tools using C, C++, Perl, and Python. His technical skills are applied in researching and developing novel kernel abstractions and MPI runtimes. Noah explores the use of Plan 9 and Inferno architectures to enhance computation and resource management, showcasing his depth of knowledge in computer science and programming.