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Mai Winstrup is a postdoctoral researcher in the Division of Geodesy and Earth Observations, DTU Space. She has a background in glaciology, and her research covers a broad spectrum within this topic: from ice-core studies of past climate, ice flow modelling, to remote sensing of the cryosphere, both land ice and sea ice. Current research focus is ice sheet altimetry based on data from the CryoSat-2 and ICESat-2 satellite missions. 

 

Previously, Mai was senior scientist in the remote sensing division at the Danish Meteorological Institute, where she studied sea ice properties using passive microwave remote sensing. Prior to that, she was Assistant Professor in glaciology at the University of Copenhagen. She has spent in total 3 years as postdoc at University of Washington, Seattle, USA, funded by a personal Villum Foundation postdoc fellowship and Inge Lehmann travel grant. 

 

Mai has an extensive background in statistical signal processing and data interpretation, including inverse modelling and machine learning. In addition, she has experience from multiple Arctic research campaigns, obtaining data from the Greenland ice sheet as well as the sea ice. 

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 13 - Climate Action

Keywords

  • User defined:
  • Cryosphere
  • microwave remote sensing
  • Satellite altimetry
  • Satellite Remote Sensing
  • Machine learning/AI
  • Inverse Problems
  • Sea ice

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