Summary
Matthew Maclay is a software engineer with nine years of experience applying geospatial and remote-sensing expertise to solve real-world Earth and planetary science problems. Based in Boulder, he builds production-focused tools for satellite operations and LiDAR automation—work that has supported Hubble data quality, erosion detection on California coasts, and satellite capabilities at LASP. His background blends rigorous research (MS in Geosciences, astronomy and planetary internships at JPL and STScI) with practical software delivery: pipelines, regression testing, and quantitative image analysis. Matthew’s career shows a pattern of turning complex scientific data into reproducible, automated workflows that accelerate discovery and operational decision-making. Not obvious from titles alone, he pairs instrument-level familiarity (STIS, CCD photometry) with modern engineering practices to bridge mission operations and research code.
9 years of coding experience
3 years of employment as a software developer
Geography, Geography at Trinity College Dublin
Master of Science - MS Geological and Earth Sciences/Geosciences, Master of Science - MS Geological and Earth Sciences/Geosciences at Guarini School of Graduate and Advanced Studies at Dartmouth
Bachelor of Arts Physics and Astronomy, Bachelor of Arts Physics and Astronomy at Carleton College