Interpretable Machine Learning for Space Physics and Planetary Science
Developing scientifically actionable data intensive methods.
Developing scientifically actionable data intensive methods.
Building a new picture of Mars’ interaction with the solar wind.
Advancing our understanding of how plasma moves around large planetary systems with Saturn as a case study.