Niklas Griessbaum
Earth Intelligence Scientist at BAYESICS, LLC
Bishop, California, United States
Summary
👤
Senior🎓
Top SchoolNiklas Griessbaum is an Earth Intelligence Scientist and scientific programmer with nine years of experience bridging mechanical engineering, environmental science, and geospatial data infrastructure. Trained as a mechanical engineer (KIT) and Ph.D. graduate in Environmental Informatics (UCSB), he has built production-ready cyberinfrastructure for geospatial data—contributing tools like the OPeNDAP Citation Creator and Python/STARE interfaces—while improving remote-sensing methods for fractional snow cover. He teaches data science and GIS, bringing classroom-tested pedagogy from UC Berkeley’s Data 8 into environmental curricula. Currently at Leidos and Bayesics, he helps move spatial analysis to the cloud and integrate advanced spatiotemporal encoding into operational workflows. Colleagues describe him as equally at home optimizing district energy systems as writing pandas-based interfaces, a blend that reflects his uncommon combination of field-facing energy expertise and deep data-engineering craft.
9 years of coding experience
7 years of employment as a software developer
Dipl.Ing., Mechanical Engineering, Dipl.Ing., Mechanical Engineering at Karlsruhe Institute of TechnologyMaster of Science - MS, Mechanical Engineering, Master of Science - MS, Mechanical Engineering at Technical University SofiaDoctor of Philosophy - Ph.D., Environmental Informatics, Doctor of Philosophy - Ph.D., Environmental Informatics at Bren School of Environmental Science & Management - University of California, Santa Barbara
English, German, Bulgarian, French, Portuguese
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (26)
python9
geospatial9
gis9
opendap9
science8
geo8
encoding8
pandas-dataframe8
pandas7
rasterio7
data-structures6
data-analysis6
latitude-longitude6
computational-geometry6
netcdf6
Programming languages (6)
Github contributions (5)
SpatioTemporal/pystare
Jan 2020 - Dec 2022
The Python interface for the SpatioTemporal Adaptive Resolution Encoding (STARE), a unified indexing for geolocated data.
Contributions:4 releases, 3 reviews, 224 commits in 2 years 11 months
python
NiklasPhabian/scidb_loader
Jul 2019 - Dec 2023
yet another scidb loader
Contributions:11 pushes, 1 branch in 4 years 5 months
yet-anotherloader
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