Sarah Y. Murphy, Ph.D.
(she/her)Sarah Murphy is a Physical Scientist in the USGS New England Water Science Center.
Sarah recently graduated from Washington State University where she earned her doctorate using Python to address key weaknesses in weather models over the Arctic. Her research interests include climate change, surface-atmosphere interactions, numerical modeling, and model validation. She has a passion for Python programming and a love for New England, so she is thrilled to be able to apply her Python experience to projects that are closer to home! In her spare time, Sarah enjoys helping others learn how they can use data science techniques efficiently in their own research by teaching introduction to programming workshops.
Professional Experience
Physical Scientist, U.S. Geological Survey, New England Water Science Center, 2023 to Present
Graduate Research Assistant, Voiland College of Engineering and Architecture, Washington State University, 2015 to 2023
Virtual Conference Specialist and Editor, The Conference Exchange (Confex), 2023
Teaching Assistant, Voiland College of Engineering and Architecture, Washington State University, 2016 to 2022
Visiting Scholar, Pacific Northwest National Laboratory, 2021
Plains Elevated Convection at Night Project Participant, Center for Severe Weather Research, 2014
Education and Certifications
Ph.D. Engineering Science, Washington State University, 2023
Certified Data and Software Carpentries Instructor, 2018
B.S. Atmospheric Sciences, Vermont State University - Lyndon, 2015
Affiliations and Memberships*
The Carpentries, 2018 - Present
American Meteorological Society, 2014 - Present
American Geophysical Union, 2014 - Present
Honors and Awards
Excellence in Leadership, AgAID Institute, 2023
Science Graduate Student Research Program Awardee (SCGSR), U.S. Department of Energy's Office of Science, 2020
Science and Products
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
New England Lidar-Derived Hydrography Project
Characterizing Future Climate and Hydrology in Massachusetts using Stochastic Modeling Methods
Science and Products
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
New England Lidar-Derived Hydrography Project
Characterizing Future Climate and Hydrology in Massachusetts using Stochastic Modeling Methods
*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