Interpretable Machine Learning for Space Physics and Planetary Science
Developing scientifically actionable data intensive methods.
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publications
research
Planetary Systems Plasma Transport I. Terrestial Planets
Building a new picture of Mars’ interaction with the solar wind.
Planetary Systems Plasma Transport II. Outer Planets
Advancing our understanding of how plasma moves around large planetary systems with Saturn as a case study.
talks
A Statistical Picture of Pitch Angles of Interchange Events at Saturn and Implications for Energization and Losses
Published:
Abstract: We utilize data from the CHEMS instrument to present a statistical review of pitch angles of interchange injections.
Multivariate Supervised Classification for Instabilities at Saturn: Comparison of Methods for Automated Event Detection in Magnetospheres
Published:
Shortened Abstract: In 2004 the Cassini mission arrived at Saturn. For the next 13 years the mission collected large amounts of data, resulting in a highly sampled magnetosphere of Saturn. Saturn is now the second most observed magnetosphere after that of Earth now allowing opportune applications of large scale statistical methods.
Jupiter with Jupyter: Lessons from Teaching Data Visualization and Statistics in Geosciences
Published:
Abstract: With the advent of post-bachelorette opportunities within data analysis and sciences, there is a clear need for students to understand the basics of data science. Data science knowledge gain includes core student understanding in statistics, programming, and data visualization.