Stephen Penny
Head Of Weather
Boulder, Colorado, United States
Summary
👤
Senior🎓
Top SchoolStephen Penny is Head of Weather at Sofar Ocean, leading the team building hybrid numerical weather prediction and AI/ML forecasts for the world’s oceans. With over a decade of experience in data assimilation, ensemble forecasting, and coupled atmosphere–ocean modeling, he has moved between operational research at NOAA and applied R&D in industry and academia. He helped develop next-generation ocean data assimilation systems (Hybrid-GODAS, LETKF applications) and led the ocean component of strongly coupled systems for national monsoon forecasting. Stephen combines deep mathematical training (PhD in Applied Mathematics & Scientific Computation) with practical engineering—translating Kalman-filter theory and particle-filter innovations into operational forecasting systems. He chaired the WMO-sponsored 2016 International Workshop on Coupled Data Assimilation, signaling both scientific leadership and community building. Outside work he brings an unusual blend of technical rigor and creativity, reflected in interests ranging from air traffic management algorithms to ballroom and Latin dance.
10 years of coding experience
13 years of employment as a software developer
Ph.D. Applied Mathematics & Statistics and Scientific Computation, Ph.D. Applied Mathematics & Statistics and Scientific Computation at University of MarylandB.S. Mathematics Applied and Pure; Minors: Computer Science Music, B.S. Mathematics Applied and Pure; Minors: Computer Science Music at James Madison University
Github Skills (73)
ocean9
recurrent-neural-networks9
forecasting-models8
prediction8
python8
deep-learning8
gpu8
netcdf8
predictive-modeling8
climate-science8
machine-learning8
fortran8
era58
sphere8
climate-model7
Programming languages (5)
Github contributions (5)
UMD-AOSC/Ocean-LETKF
Jun 2015 - Aug 2022
Main repository for the Ocean-LETKF development
Contributions:14 reviews, 217 commits, 10 PRs in 7 years 2 months
ocean
StevePny/DataAssimBench-Examples
Nov 2022 - Oct 2024
Contributions:1 release, 2 reviews, 13 PRs in 1 year 10 months
assimilationbenchmarkingai-mlmachine-learningbenchmark
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