Melanie Frost is senior data scientist for the data science group. Past and current work includes developing AI and machine learning models and visualizations for remote sensing data, volume forecasting, metrics, and developing physical fitness tests and programs. She studied at the US Air Force Academy, University of Pittsburgh, and University of North Texas. Research interests include machine learning, image analysis, remote sensing, human performance analytics, and data visualization. Melanie enjoys reading, ultimate frisbee, and running.
Melanie J Frost
(SR DATE SCIENTIST)
| Email: | melanie.frost@nasa.gov |
| Org Code: | 606.3 |
| Address: |
NASA/GSFC Mail Code 606.3 Greenbelt, MD 20771 |
| Employer: | ADNET SYSTEMS INC |
Brief Bio
Positions/Employment
Senior Data Scientist
SESDA/ADNET - NASA Goddard Space Flight Center
October 2025 - Present
Officer and Scientist: Operations Analyst
US Air Force Reserve - various
May 2006 - Present
Remote Sensing Support Specialist
Varada Consulting for InuTeq - Goddard Space Flight Center, MD
March 2023 - September 2025
NASA DEVELOP Data Scientist Intern
SSAI - Goddard Space Flight Center
September 2022 - November 2022
Data Science Group Intern
NBC SportsNEXT - Remote
January 2022 - April 2022
JP Morgan Chase
Volume Forecaster - Wilmington, DE
2011 - 2013
Teaching Experience
Assistant Professor of Management - US Air Force Academy, 2009-2011
Education
- Master of Science in Advanced Analytics, University of North Texas, 2022
- Master of Business Administration, University of Pittsburgh, 2007
- Bachelor of Science, Operations Research, US Air Force Academy, 2006
Professional Societies
INFORMS
Member
2010 - Present
National Strength and Conditioning Association
Member
2021 - Present
American College of Sports Medicine
Member
2022 - Present
American Geophysical Union
Member
2023 - Present
Publications
Refereed
2024. "Surface Reflectance From Commercial Very High Resolution Multispectral Imagery Estimated Empirically With Synthetic Landsat (2023)." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 1-10 [10.1109/jstars.2024.3456587] [Journal Article/Letter]
2024. "EO-Validation: Low Latency Commodity-Based Collaborative Validation Framework for Geoai Data Products." IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium 51 6916-6919 [10.1109/igarss53475.2024.10641506] [Proceedings]
2024. "A shift in transitional forests of the North American boreal will persist through 2100." Communications Earth & Environment 5 (1): 290 [10.1038/s43247-024-01454-z] [Journal Article/Letter]