Everett Rush
About Everett Rush
Everett Rush is a Data Engineer at Oak Ridge National Laboratory, where he developed an analysis platform for computational biologists and clinical researchers. He holds a Ph.D. in Computer Science from the University of Louisville and has extensive experience in healthcare informatics and secure data processes.
Current Role at Oak Ridge National Laboratory
Everett Rush serves as a Data Engineer at Oak Ridge National Laboratory, a position he has held since 2017. In this role, he has developed an analysis platform tailored for computational biologists, bioinformaticians, and clinical researchers. His work focuses on enhancing data processing capabilities and supporting scientific research initiatives.
Education and Academic Background
Everett Rush has an extensive academic background in Computer Science. He earned his Bachelor’s Degree in Liberal Arts and Sciences from the University of Louisville, completing his studies from 2007 to 2013. He continued at the same institution to achieve a Master’s Degree in Computer Science from 2013 to 2015, followed by a Doctor of Philosophy (Ph.D.) in the same field from 2015 to 2019.
Previous Experience at Oak Ridge National Laboratory
Prior to his current role, Everett Rush worked at Oak Ridge National Laboratory as a HERE Graduate Intern for three months in 2016 and as an ASTRO Graduate Intern from 2016 to 2017. These internships provided him with foundational experience in data engineering and research support within a national laboratory setting.
Experience in Education and Tutoring
Everett Rush has experience in academia, having worked at the University of Louisville in various capacities. He served as a University of Louisville Fellow from 2015 to 2016 and as a Teaching Assistant from 2014 to 2015. Additionally, he worked as a Scheduled Tutor from 2012 to 2014, contributing to the educational development of students in the Louisville, Kentucky area.
Technical Skills and Specializations
Everett Rush specializes in healthcare informatics and is experienced in utilizing tools such as cTakes, Leo, and Eagle/Minimac/Plink. He employs advanced infrastructure tools like Docker, Kubernetes, and Spark in his projects. Additionally, he engages in scientific computing using technologies such as TileDB, MPI, and PETSc, and has experience working with secure PHI enclaves, adhering to strict security requirements.