Anna Jungbluth

Anna Jungbluth

Anna Jungbluth is currently working as a Research Fellow in the Climate and Long-Term Action Division of the European Space Agency (ESA) to develop geospatial models for Earth Observation and Climate research. Her research focuses on self-supervised learning, foundation models, and instrument-to-instrument translation to create long-term homogeneous data records of satellite observations. Before joining ESA, she earned her PhD in Physics from the University of Oxford, researching renewable energy and photovoltaics.  

Anna’s interest in machine learning for space applications began in 2018 when she won the UK finals of the ESA-sponsored Act in Space Hackathon. The following year, she joined a NASA and ESA-funded research programme (the Frontier Development Lab), where she worked in an interdisciplinary team of researchers to develop machine learning models for studying the Sun. She returned to the programme in the following years, leading various Heliophysics and Earth Observation projects. Anna is passionate about increasing diversity in STEM and helping to empower the next generation of interdisciplinary scientists. 

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  • Organization
    European Space Agency (ESA)
  • Profession
    Research Fellow

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