Niklas 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 Technology
Master of Science - MS, Mechanical Engineering, Master of Science - MS, Mechanical Engineering at Technical University Sofia
Doctor 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
STAREpandas adds SpatioTemporal Adaptive Resolution Encoding (STARE) support to pandas DataFrames. https://starepandas.readthedocs.io/en/latest/
Contributions:2 releases, 5 reviews, 266 commits in 2 years 5 months
polarsgeospatialpythondataframesstare
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Niklas Griessbaum - Earth Intelligence Scientist at Leidos