Nathaniel Cannon
About Nathaniel Cannon
Nathaniel Cannon is a Data Engineer at DNAnexus in Mountain View, California, where he has worked since 2021. He holds a PhD candidate in Genomics & Bioinformatics from Penn State University and has previously lectured in Biology at Southern Utah University.
Work at DNAnexus
Nathaniel Cannon has been employed as a Data Engineer at DNAnexus since 2021. He works in Mountain View, California, where he contributes to the company's focus on genomic data analysis and bioinformatics. His role involves utilizing enterprise-level analysis platforms to support translational research in medical genomics.
Education and Expertise
Nathaniel Cannon holds a PhD candidacy in Genomics & Bioinformatics from Penn State University, where he studied from 2008 to 2018. He also earned a Master of Science in Genetics & Biotechnology from Brigham Young University, completing his studies from 2006 to 2008. Additionally, he obtained a Bachelor of Science in Biostatistics, Zoology, and Chemistry from Brigham Young University, studying from 1998 to 2005. His educational background supports his expertise in integrating genomic data with computational tools.
Previous Experience at Southern Utah University
Before joining DNAnexus, Nathaniel Cannon served as a Lecturer of Biology at Southern Utah University from 2018 to 2021. In this role, he was responsible for teaching and mentoring students in biological sciences, leveraging his extensive knowledge in genomics and bioinformatics.
Technical Skills and Tools
Nathaniel Cannon is fluent in R and has familiarity with Python and Bash. He is experienced with genomics data repositories and visualization tools, including ggplot and Circos. His technical skills extend to the use of enterprise-level analysis platforms such as CLCBio, DNAstar, and Galaxy, which he employs for research in medical genomics.
High-Performance Computing Systems
Nathaniel Cannon has experience in designing and maintaining high-performance computing systems tailored for molecular biology research. This expertise is crucial for managing large datasets and performing complex analyses in the field of genomics.