Stanley P Mordensky, PhD
Stanley is a Research Geologist with the GMEG Science Center in Bozeman, MT. Since joining the USGS in 2021 as a Mendenhall Research Fellow, Stanley has devoted his career to developing machine learning for geothermal resource assessments and supports critical mineral assessments.
Stanley’s research interests vary from machine learning, geothermal systems, and volcano monitoring to rock mechanics, geochemistry, and geohazards. Stan spent several seasons mapping lithology, geotechnical units, geothermal hazards, and volcanic hazards across several geophysical provinces and has taught these subjects to university students. He also served as a volunteer for the Hawaiian Volcano Observatory and Yellowstone National Park.
Professional Experience
2021 to present - Research Geologist (Geothermal Resources Investigations Project), U.S. Geological Survey, Bozeman, MT
2020 - Visiting Scientist, Yellowstone National Park, Mammoth Hot Springs, WY
2017 - Visiting Scientist, Yellowstone National Park, Mammoth Hot Springs, WY
2014 to 2015 - Research Fellow, National Energy and Technology Laboratory. Albany, OR
2010 - National Association of Geoscience Teachers Fellow, Reston, VA
Education and Certifications
PhD, Engineering Geology, University of Canterbury, New Zealand, 2019
MSc, Geological Sciences, University of Oregon, USA, 2012
BSc, Economics, George Washington University, USA 2009
BA, Geological Sciences, George Washington University, USA 2009
Affiliations and Memberships*
Geological Society of America
Science and Products
What did they just say? Building a Rosetta stone for geoscience and machine learning What did they just say? Building a Rosetta stone for geoscience and machine learning
Predicting geothermal favorability in the western United States by using machine learning: Addressing challenges and developing solutions Predicting geothermal favorability in the western United States by using machine learning: Addressing challenges and developing solutions
Science and Products
What did they just say? Building a Rosetta stone for geoscience and machine learning What did they just say? Building a Rosetta stone for geoscience and machine learning
Predicting geothermal favorability in the western United States by using machine learning: Addressing challenges and developing solutions Predicting geothermal favorability in the western United States by using machine learning: Addressing challenges and developing solutions
*Disclaimer: Listing outside positions with professional scientific organizations on this Staff Profile are for informational purposes only and do not constitute an endorsement of those professional scientific organizations or their activities by the USGS, Department of the Interior, or U.S. Government