Nathan is a Research Assistant and Software Developer for the Earth Analytics Education team at Earth Lab. He helps to write and maintain the Introduction to Earth Data Science Textbook, the Intermediate Earth Data Science Textbook, and other open education content used in the  Earth Data Analytics programs. Alongside writing lessons for the courses, Nathan also assists in teaching them. He also helps create and maintain software packages to assist with the Earth Analytics Education program, such as EarthPyMatPlotCheck, and ABC Classroom.

Nathan has his B.A. in Geography alongside a certificate in Computer Science and Geographic Information Systems from the University of Colorado, Boulder. He has a passion for open source, earth analytics, and education. Previously, Nathan worked in the U.S. Geological Survey doing software development and testing for the National Hydrography Dataset. He also worked at the National Center for Atmospheric Research doing various IT jobs.

In his free time, Nathan likes to bake, cook, hike, and build computers!

Our curriculum teaches skills at the intersection of environmental science and data science, combined with a knowledge of heterogeneous data types, open science approaches, and a suite of “soft” skills needed to communicate and collaborate in interdisciplinary teams. These in-demand skills prepare students and professionals for careers in data intensive science that address a variety of large scale environmental challenges.
In alignment with our mission to support open, reproducible science, Earth Lab has developed a number of open source software tools and packages to allow users to help teachers and students use earth data in the classroom. These include abc-classroom, EarthPy, MatPlotCheck, and nbgrader as well as customized JupyterHub and Anaconda/Python environments.
Education should be open and available to anyone. The learning portal has over 300 free and open lessons that allow anyone to learn and teach earth data science skills and has tens of thousands of visitors each month.
Our innovative classrooms include an interdisciplinary mix of undergraduate, graduate, and returning professional students who participate in active, collaborative synchronous and asynchronous learning through options for in-person or online courses. This variety in available participation modes supports students by addressing geographic and time constraints that might otherwise limit their access to formal education in earth data science.