Difference between revisions of "User:Jwagemann"
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− | Julia | + | === Julia Wagemann === |
+ | {| class="wikitable" | ||
+ | | '''Job title''' || Geospatial data consultant, PhD candidate / Visiting Scientist | ||
+ | |- | ||
+ | | '''Company''' || Julia Wagemann Consulting, University of Marburg / ECMWF | ||
+ | |- | ||
+ | | '''City''' || Rome | ||
+ | |- | ||
+ | | '''Email''' || wagemann.julia@gmx.de | ||
+ | |- | ||
+ | | '''Website''' || [[jwagemann.github.io]] | ||
+ | |- | ||
+ | | '''Personal description''' || I am a geospatial data and systems expert, currently on a mission to make climate and meteorological data better accessible. I am very passionate about making open Earth data better accessible and moving away from pure download services to more on-demand cloud-based data services. My research focuses on how user-friendly, scalable data services can be set up based on cloud services and Big Data technologies. | ||
+ | I run tutorials and workshops, mainly on the interactive analysis of large volumes of Earth data, with open-source geospatial technologies and Jupyter notebooks, Python and R. I like to engage with data users and the geospatial data community. I run I was one of the main organisers of the OpenDataWeek @ECMWF in 2017. Currently, I am coordinating the online coding programme ECMWF Summer of Weather Code, which promotes the development of weather-related open-source software. |
Latest revision as of 06:11, 29 September 2019
Julia Wagemann
Job title | Geospatial data consultant, PhD candidate / Visiting Scientist |
Company | Julia Wagemann Consulting, University of Marburg / ECMWF |
City | Rome |
wagemann.julia@gmx.de | |
Website | jwagemann.github.io |
Personal description | I am a geospatial data and systems expert, currently on a mission to make climate and meteorological data better accessible. I am very passionate about making open Earth data better accessible and moving away from pure download services to more on-demand cloud-based data services. My research focuses on how user-friendly, scalable data services can be set up based on cloud services and Big Data technologies.
I run tutorials and workshops, mainly on the interactive analysis of large volumes of Earth data, with open-source geospatial technologies and Jupyter notebooks, Python and R. I like to engage with data users and the geospatial data community. I run I was one of the main organisers of the OpenDataWeek @ECMWF in 2017. Currently, I am coordinating the online coding programme ECMWF Summer of Weather Code, which promotes the development of weather-related open-source software. |