Peter Doak
About Peter Doak
Peter Doak is a Scientific Software Engineer with a Ph.D. in Physical Chemistry from the University of California, Berkeley. He has extensive experience in mathematical modeling, programming, and high-performance computing, currently working at Oak Ridge National Laboratory since 2014.
Work at Oak Ridge National Laboratory
Peter Doak has been employed at Oak Ridge National Laboratory as a Scientific Software Engineer since 2014. In this role, he specializes in condensed matter theory, focusing on the development and application of scientific software that supports research in this area. His work contributes to advancements in understanding complex materials and phenomena, leveraging his background in mathematical modeling and high-performance computing.
Previous Experience at UC Berkeley
Prior to his current position, Peter Doak worked at the University of California, Berkeley as a Graduate Student Research Assistant from 2006 to 2014. During this eight-year tenure, he gained valuable experience in scientific research and software development, applying his skills in mathematical modeling to various projects. This role laid the foundation for his expertise in programming and computational methods.
Education and Expertise
Peter Doak earned his Doctor of Philosophy (Ph.D.) in Physical Chemistry from the University of California, Berkeley, completing his studies from 2006 to 2014. His educational background equips him with a strong understanding of the principles of chemistry and physics, which he applies in his current research. His expertise extends to high-performance computing (HPC) and cloud computing, particularly with OpenStack, enhancing his capabilities in scientific software development.
Programming Skills and Proficiencies
Peter Doak possesses strong proficiency in multiple programming languages, including C++, Python, and R. His programming skills are integral to his work as a Scientific Software Engineer, allowing him to create efficient algorithms and software solutions for scientific research. This technical expertise supports his contributions to mathematical modeling and condensed matter theory.