Chris Bishop
About Chris Bishop
Chris Bishop is a Research Assistant at Oak Ridge National Laboratory, where he has worked since 2013. He holds a PhD in Condensed Matter Physics from the University of Tennessee-Knoxville and has experience in high-performance computing and machine learning.
Work at Oak Ridge National Laboratory
Chris Bishop has been employed as a Research Assistant at Oak Ridge National Laboratory since 2013. Over the course of 11 years, he has contributed to various research initiatives in Oak Ridge, TN. His role involves applying advanced computational techniques and programming skills to support ongoing projects within the laboratory.
Previous Experience at University of Tennessee
Before joining Oak Ridge National Laboratory, Chris Bishop worked as a Graduate Research Assistant at the University of Tennessee from 2013 to 2018. During this five-year period in Knoxville, TN, he engaged in collaborative research projects and developed new computational techniques, enhancing his programming capabilities in various languages.
Education and Expertise in Physics
Chris Bishop earned his Doctor of Philosophy (PhD) in Condensed Matter Physics from the University of Tennessee-Knoxville, where he studied from 2011 to 2017. His academic background also includes a Bachelor’s Degree in Physics from the University of Missouri-Saint Louis, completed from 2006 to 2011. His education has provided him with a solid foundation in physics and computational methods.
Current Role at Systems & Technology Research
Since 2018, Chris Bishop has held the position of Senior Researcher at Systems & Technology Research in Woburn, MA. In this role, he continues to apply his expertise in high-performance computing (HPC) and machine learning, areas in which he has developed a strong passion over recent years.
Research Skills and Interests
Throughout his academic and professional career, Chris Bishop has developed new computational techniques and programming skills. He has worked collaboratively on multiple projects simultaneously, showcasing his ability to manage complex research tasks. His interests in high-performance computing and machine learning reflect his commitment to advancing research methodologies.