Bryan Riel
Assistant Professor at Zhejiang University
Pasadena, California, United States
Summary
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Rockstar🎓
Top SchoolBryan Riel is an Assistant Professor based in Pasadena with a PhD in Geophysics and over a decade of hands-on experience applying statistical inference, signal processing, and machine learning to remote sensing and earth-science problems. He has translated deep research into production-grade software at places like JPL—implementing C++/CUDA pipelines for radar imaging and using deep CNNs for superresolution—and later advanced Bayesian and data-assimilation methods as a research scientist at MIT. Bryan’s work spans from developing uncertainty-aware MCMC techniques for high-dimensional inference to real-time distributed processing for geophysical hazards, blending rigorous academics with practical engineering. He combines field-focused sensing expertise (LiDAR, SAR, InSAR) with modern ML and high-performance computing, and now brings that interdisciplinary toolkit to academia where he trains the next generation of computational geoscientists. An often-overlooked strength is his track record of moving prototype algorithms into operational workflows for spacecraft and environmental monitoring.
2 years of coding experience
13 years of employment as a software developer
Bachelor of Science (B.S.), Aerospace Engineering, Bachelor of Science (B.S.), Aerospace Engineering at The University of Texas at AustinCalifornia Institute of Technology
Github Skills (38)
relation-extraction10
extraction10
prompt10
clash9
named-entity-recognition9
entity-extraction9
pytorch9
linux9
windows9
graph9
information-extraction9
knowledge-graph9
nlp9
deep-learning8
information-retrieval8
Programming languages (3)
Github contributions (5)
R10836/TyporaImageBox
Aug 2023 - Dec 2024
Contributions:1584 pushes, 1 branch in 1 year 3 months
openFirrre/CSU-CS_DS-Assignments
Apr 2024 - Nov 2024
Contributions:80 pushes, 1 branch, 2 comments in 7 months
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