Galen Gorski

Galen Gorski

Machine Learning Specialist @ U.S. Geological Survey

About Galen Gorski

Galen Gorski is a Machine Learning Specialist currently working at the U.S. Geological Survey, where he develops models to analyze water quality parameters. He has a diverse background in research, having held positions at several prestigious institutions including the University of California, Berkeley and the National Science Foundation.

Current Role at U.S. Geological Survey

Galen Gorski currently serves as a Machine Learning Specialist at the U.S. Geological Survey (USGS) in Reston, Virginia. He has been in this role since 2021, contributing to the Analysis and Prediction Branch of the Water Mission Area. His work involves developing machine learning models aimed at analyzing water quality parameters, including salinity, dissolved oxygen, and nutrients. Gorski focuses on understanding the drivers and physical processes that influence water quality, which is essential for environmental monitoring and management.

Previous Experience at University of California, Berkeley

Prior to his current position, Gorski worked as a Postdoctoral Scholar at the University of California, Berkeley, for a duration of nine months in 2021. This role was based in the Washington DC-Baltimore area. His experience at Berkeley contributed to his expertise in machine learning and its applications in environmental science.

Education and Expertise

Galen Gorski earned his Doctor of Philosophy (PhD) in Geological and Earth Sciences/Geosciences from the University of California, Santa Cruz, where he studied from 2015 to 2020. He also holds a Bachelor of Arts in Chemistry from Carleton College, obtained between 2009 and 2013. His educational background provides a strong foundation for his work in machine learning and environmental analysis.

Research and Internship Experience

Gorski has a diverse research background, having worked in various capacities across multiple institutions. He served as a NSF Graduate Research Fellow at the National Science Foundation from 2016 to 2020 in Santa Cruz, California. Additionally, he completed a NSF Graduate Student Internship at the USGS from 2019 to 2020 in the Middle East North Africa Region. His experience also includes roles as a Research Technician at the University of Utah and a Biological Science Technician at the USDA Agricultural Research Service.

Research Assistant Positions

Gorski has held several research assistant positions that contributed to his development as a scientist. He worked as a Research Assistant at Princeton University for one month in 2011 and as a Post Graduate Research Assistant at Carleton College for four months in 2013. These roles provided him with practical research experience that complements his academic qualifications.

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