Samuel Barrett
About Samuel Barrett
Samuel Barrett is the Machine Learning Team Lead and Senior Data Scientist at Regrow Ag, with a strong background in Earth observation data for sustainable agriculture solutions.
Current Role at Regrow Ag
Samuel Barrett is currently employed as the Machine Learning Team Lead and Senior Data Scientist at Regrow Ag. In this role, which he began in 2021, Samuel focuses on integrating machine learning solutions to advance agricultural sustainability. His leadership in the machine learning team supports innovative projects tackling environmental and climate change challenges. He employs his expertise in predictive modeling and data visualization to develop effective solutions.
Previous Experience in Geospatial Data
Samuel Barrett has an extensive background working with geospatial data, particularly within the agricultural sector. Before his current role at Regrow Ag, he served as a Remote Sensing (Data) Scientist for Agricultural Applications in 2021. Furthermore, he worked at GeoVille Information Systems and Data Processing GmbH as an Earth Observation & Geospatial Data Scientist from 2018 to 2021. His accumulated experience in remote sensing and geospatial analysis contributed significantly to his proficiency in utilizing Earth observation data for sustainable agriculture solutions.
Educational Background in Geosciences
Samuel Barrett's academic achievements include a Doctor of Philosophy (PhD) in Geology/Earth Science, earned from Leopold-Franzens Universität Innsbruck, where he studied from 2012 to 2017. Previously, he completed an MSci (Master in Science) in Geological and Earth Sciences/Geosciences at Royal Holloway, University of London, between 2007 and 2011. Additionally, Samuel spent a year abroad at the University of Sydney from 2009 to 2010, studying Geological and Earth Sciences/Geosciences as part of his MSci degree program.
Academic Roles and Research Positions
Samuel Barrett has held various academic and research positions throughout his career. He worked as a part-time lecturer at Universität Innsbruck for six months from 2020 to 2021. Earlier in his career, he served as a Research Assistant at the University of Sydney in 2011, as well as at Royal Holloway, University of London, the same year. His brief tenure as a Research Assistant at the University of Sydney also includes a period from 2009 to 2010. These roles provided him with a strong foundation in research methodologies and subject matter expertise in geosciences.
Technical Expertise and Skills
Samuel Barrett possesses significant technical expertise in predictive modeling and data visualization using programming languages such as Python and MATLAB. His adeptness with these tools allows him to create and refine models that effectively address issues pertaining to environmental and agricultural sustainability. Furthermore, Samuel's track record demonstrates his flexibility in applying diverse methodologies to a variety of geoscience applications, making him a versatile asset in his field.