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Landon Rollins User

@landonrollinsuser

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Recent geoscience graduate applying GIS and modeling to improve weather forecasting.

United States

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What I'm looking for

I’m looking to grow in meteorological forecasting, using GIS, remote sensing, and quantitative hazard-modeling to improve prediction and communicate actionable insights within a rigorous, data-driven team.

I’m a recent geoscience graduate with hands-on experience in environmental hazard modeling, GIS, and remote sensing, and I’m stepping into an incoming M.P.S. in Weather Forecasting at the University of Miami (Fall 2026). I want to channel my Earth systems background into meteorological forecasting and prediction that’s both scientifically grounded and practically useful.

In my research work, I built a Random Forest landslide susceptibility model in R using multi-variable raster datasets processed in QGIS, and I used feature selection to identify the strongest slope-failure predictors for clearer, more accurate hazard mapping. I also served as a Geophysics Laboratory Assistant, collecting and translating subsurface field data (including seismic refraction, electrical resistivity, gravimetry, and magnetometry) into actionable interpretations through technical reporting.

Beyond geoscience analytics, I bring careful data stewardship from my time as a Special Collections Description Specialist, where I maintained metadata accuracy and compiled 50,000+ items and migrated datasets into ArchivesSpace. I’ve also applied my skills across projects—from copper mobility modeling supported by ICP-MS, ion chromatography, and Geochemist’s Workbench to remote sensing analysis of wetland change and erosion dynamics using multi-year Landsat workflows.

Experience

Work history, roles, and key accomplishments

Description Specialist

Washington and Lee Special Collections

Jan 2024 - Jan 2026 (2 years)

Managed metadata accuracy and compiled records for the Henry Strouss Performing Arts Collection to support long-term accessibility and research usability. Cross-referenced historical records in Excel and migrated clean datasets into ArchivesSpace in compliance with institutional data standards.

Metadata Management Data Compilation Excel Data Compliance

Geophysics Laboratory Assistant

Washington and Lee EEG Department

Jan 2024 - Jan 2025 (1 year)

Collected and interpreted subsurface field data using gravimeters, magnetometers, seismic refraction, and electrical resistivity instruments. Authored technical reports translating raw geophysical datasets into actionable subsurface interpretations.

Seismic Refraction Geophysical Surveying

Landslide Susceptibility Modeling

Washington and Lee EEG Department

Jan 2024 - Jan 2025 (1 year)

Built a Random Forest classification model in R to predict landslide susceptibility across Virginia using multi-variable raster datasets processed in QGIS. Applied recursive feature elimination to identify key predictors and produced publication-quality susceptibility maps for Nelson and Albemarle Counties.

Random Forest R QGIS GIS Recursive Feature Elimination

Education

Degrees, certifications, and relevant coursework

University of Miami

Master of Professional Studies, Weather Forecasting

2026 -

Activities and societies: Upcoming coursework includes Advanced Weather Forecasting, Atmospheric Dynamics, Climate Change, and ENSO Dynamics & Predictability.

Incoming M.P.S. student in Weather Forecasting at the University of Miami, with coursework in advanced weather forecasting, atmospheric dynamics, and climate/ENSO predictability.

Washington and Lee University

Bachelor of Science, Earth and Environmental Geoscience

Grade: GPA: 3.849; cum laude

Activities and societies: President's List (2023–2026); relevant coursework includes Geospatial Analytics, GIS & Remote Sensing, Hydrology, Water Resources, Geophysics, Geochemistry, Science of Natural Hazards, and Sedimentation & Stratigraphy.

Earned a B.S. in Earth and Environmental Geoscience with a minor in Studio Art, graduating May 2026 (cum laude). Coursework emphasized geospatial analysis, GIS/remote sensing, hydrology/water resources, geophysics, and natural hazards.