Jacob Arndt
About Jacob Arndt
Jacob Arndt is a Geospatial Data Scientist with a strong academic background in Geography, Geographic Information Science, and Computer Science from the University of Minnesota-Twin Cities. He has experience working at NASA Jet Propulsion Laboratory and Oak Ridge National Laboratory, focusing on machine learning and spatial computing for satellite imagery.
Work at Oak Ridge National Laboratory
Jacob Arndt has been employed at Oak Ridge National Laboratory since 2019, where he serves as a Geospatial Data Scientist. In this role, he develops research and scientific applications that focus on remote sensing and image analysis. His work utilizes open-source web-GIS tools to enhance the analysis of geospatial data.
Internship Experience at NASA Jet Propulsion Laboratory
In 2017, Jacob Arndt completed a two-month internship at NASA Jet Propulsion Laboratory as a DEVELOP Student Intern. This experience took place in Pasadena, California, and provided him with exposure to advanced geospatial technologies and methodologies.
Education and Expertise
Jacob Arndt holds a Bachelor of Science in Geography and a Bachelor of Arts in Music from the University of Minnesota-Twin Cities, both completed from 2012 to 2016. He further pursued a Masters of Geographic Information Science and a Graduate Minor in Computer Science at the same institution, completing these studies from 2016 to 2018. His educational background equips him with a strong foundation in geospatial analysis and technology.
Research Focus in Geospatial Artificial Intelligence
Jacob Arndt is part of the Geospatial Artificial Intelligence (GeoAI) group, where he focuses on research and development in machine learning and spatial computing, particularly as it relates to satellite imagery. His involvement in this group highlights his commitment to advancing the field of geospatial science through innovative technologies.
Previous Role as Research Associate
Before his current position, Jacob Arndt worked as a Research Associate at Oak Ridge National Laboratory from 2018 to 2019. This role contributed to his professional development and experience in the field of geospatial data science.