Chris Cotter
About Chris Cotter
Chris Cotter is a Senior Manager of Data Science with extensive experience in data analysis, programming, and deep learning techniques. He has worked at Benson Hill and the University of Georgia, holding various roles that emphasize his expertise in bioinformatics and computational methods.
Current Role at Benson Hill
Chris Cotter currently serves as the Sr. Manager of Data Science at Benson Hill, a position he has held since 2022. In this role, he oversees data science initiatives and manages a team focused on leveraging data to drive insights and innovation. His work involves utilizing advanced data analysis techniques and programming skills to enhance the company's capabilities in the agricultural technology sector.
Previous Experience at Benson Hill
Before his current role, Chris Cotter worked at Benson Hill as a Data Scientist from 2019 to 2021 and as a Sr. Data Scientist from 2021 to 2022. During his tenure, he contributed to various data-driven projects that aimed to improve agricultural practices through the application of data science methodologies and technologies.
Education and Expertise
Chris Cotter holds a Doctor of Philosophy (PhD) in Microbiology with a focus on Applied Computational Methods from the University of Georgia, where he studied from 2011 to 2017. He also earned a Bachelor of Science (BS) in Bioinformatics from the Rochester Institute of Technology from 2007 to 2011. His expertise includes deep learning techniques, data analysis, and visualization, utilizing programming languages such as Python, Java, and SQL.
Research and Academic Background
Prior to his industry roles, Chris Cotter was involved in academic research at the University of Georgia. He served as a Postdoctoral Researcher for five months in 2018 and participated in the NSF REU in Prokaryotic Biology in 2010. His academic work has provided him with a strong foundation in both theoretical and practical aspects of microbiology and computational methods.
Technical Skills and Projects
Chris Cotter utilizes a diverse set of programming languages and technologies, including REST APIs and AWS, for software development. He engages in data analysis and visualization using methods like clustering and regression. He maintains a GitHub repository to showcase his projects and contributions, and operates a personal website to share insights related to his professional work.