I use satellite measurements, machine learning, cloud-computing, and open science to build
a better understanding of glacier and ocean change in Greenland and Antarctica and impact on the planet.
Satellites capture thermal images of the ocean and ice in polar regions. We use thermal in new ways to study ocean circulation, ice melt, and to see ice features in polar winter. Learn more.
As ice and ocean data volumes grow with new techonlogies, cloud infrastructure and open-source science values will help scientists maximize research innovation and societal impact. Learn more.
Cutting-edge deep learning algorithms may be used to learn patterns and processes not yet included in current climate and glacier models. In partnership with data scientists, we use deep learning to fill gaps in understanding and automate the identification of ice-ocean features across entire continents of ice. Learn more.
Check out my Curriculum Vitae to learn more!