Logan Karsten
Senior Operations Scientist
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolLogan Karsten is a Senior Operations Scientist with a decade of experience building operational hydrologic and flood-forecasting systems that scale across cloud and HPC environments. He combines deep domain expertise in snow and land-surface processes (WRF-Hydro, National Water Model, SNOW17) with practical data science and ML for precipitation nowcasting and model calibration. Logan has led production deployments that integrate remotely sensed snow products and distributed hydrologic models to support water prediction for renewable energy, supply chain resilience, and municipal clients. He’s equally comfortable tuning land surface parameters from satellite retrievals as he is architecting hybrid on-prem/cloud pipelines to meet strict SLAs. Based in Chicago, he brings a rare blend of research-to-operations experience and published academic work that accelerates reliable, enterprise-grade hydrologic forecasting.
10 years of coding experience
14 years of employment as a software developer
Masters of Science, Meteorology, Masters of Science, Meteorology at Iowa State University
Github Skills (13)
hydrology10
noaa10
modeling10
python9
r-package9
earth-science9
fortran9
atmospheric-modelling8
trainings7
visualization6
jupyter-notebook5
docker5
jupyter4
Programming languages (4)
Github contributions (5)
NCAR/WrfHydroForcing
Jan 2019 - Sep 2019
Python forcing engine for WRF-Hydro
Contributions:382 commits, 20 PRs, 10 pushes in 9 months
wrf-hydropythonhydrowrf
logankarsten/PyHydroSnow
Aug 2016 - Mar 2017
Contributions:470 pushes, 1 branch in 6 months
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