Benjamin Gordon

Benjamin Gordon

Scientist Ii @ Apeel

About Benjamin Gordon

Benjamin Gordon is a Scientist II at Apeel Sciences with a strong background in Microbiology and Molecular Biology. He holds a Bachelor of Science and a Master of Science from the University of Illinois at Urbana-Champaign and has expertise in Bioinformatics, DNA Sequencing, and Statistical Data Analysis.

Work at Apeel

Currently, Benjamin Gordon holds the position of Scientist II at Apeel Sciences, a role he has been in since 2020. His work is based in Goleta, California, where he contributes to the company's mission of improving food sustainability through innovative biotechnology solutions. His responsibilities include utilizing advanced techniques in bioinformatics and DNA sequencing to enhance product development and research initiatives.

Education and Expertise

Benjamin Gordon earned a Bachelor of Science (B.Sc.) in Earth, Society, and Environment from the University of Illinois at Urbana-Champaign, studying from 2011 to 2013. He further advanced his education with a Master of Science (M.Sc.) in Biology, Plant and Microbial, from the same university, completing his studies from 2014 to 2015. His academic background provides a strong foundation in microbiology and molecular biology, which supports his expertise in bioinformatics and DNA sequencing.

Background

Before joining Apeel Sciences, Benjamin Gordon worked as a Research Associate III at Agrinos from 2016 to 2020 in Davis, California. During his four years at Agrinos, he focused on research that contributed to the development of sustainable agricultural practices. His experience in this role helped him build a robust skill set in statistical data analysis and computational biology.

Technical Skills

Benjamin Gordon possesses strong technical skills in Linux and R programming languages, which he applies in his research work. His proficiency in these computational biology tools enhances his ability to analyze complex biological data effectively. Additionally, his expertise in statistical data analysis is crucial for interpreting research findings and advancing biotechnology initiatives.

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