Matthew R. Lehnert, Ph. D.
About Matthew R. Lehnert, Ph. D.
Matthew R. Lehnert, Ph.D., serves as the Geo Coding Environment Technical Lead at Axle Informatics, where he applies his expertise in geospatial machine learning for environmental monitoring and urban planning. He has a robust academic background, including a Ph.D. in Spatially Integrated Social Sciences from The University of Toledo and extensive experience in teaching and research.
Work at Axle Informatics
Matthew R. Lehnert serves as the Geo-Coding Environment Technical Lead at Axle Informatics, a position he has held since 2024. His role involves leveraging his expertise in geospatial machine learning to enhance environmental monitoring and urban planning initiatives. Working remotely from Maryland, he contributes to projects that require advanced data analysis and image processing capabilities.
Education and Expertise
Matthew R. Lehnert holds a Doctor of Philosophy (PhD) in Spatially Integrated Social Sciences from The University of Toledo, which he completed between 2013 and 2021. He also earned a Master of Arts (MA) in Geography from the same institution from 2011 to 2013. Prior to that, he obtained a Bachelor of Arts (BA) in International/Global Studies from Al Akhawayn University from 2007 to 2010. His educational background supports his specialization in geospatial machine learning and data analysis.
Professional Background
Before joining Axle Informatics, Matthew R. Lehnert worked as a Machine Learning Scientist at Satelytics from 2022 to 2024. He has also held academic positions at Al Akhawayn University, where he served as an Assistant Professor of Geography for 9 months in 2022 and as a Lecturer of Statistics for 7 years from 2015 to 2022. His experience includes roles as a Research Assistant at the High Atlas Foundation and as an Adjunct Faculty member at Owens Community College.
Achievements in Geospatial Machine Learning
Matthew R. Lehnert specializes in developing innovative methods for classifying and predicting patterns in satellite imagery. His work focuses on applying geospatial machine learning techniques to environmental monitoring and urban planning projects. He is skilled in communicating complex technical concepts effectively to diverse audiences, facilitating collaboration in interdisciplinary teams.
Interdisciplinary Collaboration and Skill Development
Matthew R. Lehnert enjoys engaging in interdisciplinary teams and is committed to continuous skill development. He actively seeks new opportunities to expand his expertise in geospatial analysis and machine learning, emphasizing the importance of collaboration in achieving project goals.