Kobie Marsh

Staff Data Scientist And Software Developer at Virginia Tech Applied Research Corporation

Kobie Marsh is a skilled data scientist and software developer currently working at Virginia Tech Applied Research Corporation since August 2022. With a progressive career at the same organization, Kobie has held roles including Staff Data Scientist and Associate Data Scientist, contributing expertise in time series analyses, anomaly detection, natural language processing, and large-scale data infrastructure. Responsibilities include designing experiments, drafting technical documents, analyzing and visualizing data, and communicating research findings through presentations and publications. Prior experience includes a research assistant role for the Microbiome Metadata Crisis project at San Diego IRACDA and sales positions at UNIQLO and Microcenter. Kobie holds a Master of Science in Artificial Intelligence from Johns Hopkins University, a Bachelor of Science in Computer and Information Sciences from the University of Maryland, and an Associate of Arts in Computer Science from Montgomery College.

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Virginia Tech Applied Research Corporation

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VT-ARC delivers tailored analysis, research, and engineering to address problems of national and global importance. Specializing in forming highly collaborative, trusted partnerships across government, industry, and academia, we enable the critical innovations of tomorrow. VT-ARC performs translational R&D under contract with government and private sector clients. VT-ARC advances innovative and multi-disciplinary applications of hard and soft sciences, technology, and engineering to enhance global competitiveness. The corporation provides multi-disciplinary solutions to complex challenges in Intelligence, Cyber/IT, Defense/Security, Energy, and Health business sectors. VT-ARC is a private, non-profit corporation affiliated with Virginia Polytechnic Institute and State University. As the "Portal to the Power of Virginia Tech"​ we collaborate closely with Virginia Tech in technical areas as appropriate to leverage the capabilities and expertise of the university.


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