SNAPP TEAM:Julien Brun
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Julien Brun is a scientific programmer at NCEAS, where he assists scientific research according to data science best practices. The core of his work is to understand and solve working group participants’ data and computing challenges. He advises and trains groups on how to clean, structure, combine and analyze their heterogeneous data sets, as well as scaling their analysis. He is also an instructor for NCEAS’ data science trainings, helping scientists improve their programming and data management skills.

Julien’s scientific expertise is in ecohydrology, Earth observation techniques (remote sensing and GIS) and process-based models. Prior to conducting his PhD on the ecohydrological impacts of tropical cyclones in the Southeastern US, he conducted several projects on land cover change, vegetation monitoring and disaster mapping for governmental and international institutions.

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