Randy Gobbel
Computational Neuroscientist
Brisbane, California, United States
Summary
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Senior🎓
Top SchoolRandy Gobbel is a computational neuroscientist and seasoned software engineer with over a decade of experience bridging cognitive science, machine learning, and production-grade engineering. He currently models cognitive control and executive function at UC Merced, after applying deep learning to genomic and sequencing data at Illumina and building large-scale NLP/knowledge systems at Quixey. Randy has led engineering teams and architected clinical bioinformatics SaaS, combining hands-on implementation in Python, PyTorch, TensorFlow and Ruby with systems design for distributed data and inference pipelines. His background includes foundational research in biophysical brain modeling and contributions to cognitive architectures like SOAR, reflecting a rare blend of theoretical depth and practical delivery. Based in Brisbane, CA, he’s known for quickly learning new technologies to solve domain-specific problems and for shipping tooling that turns complex scientific models into usable systems. An understated strength is his long track record of integrating heterogeneous tools and data—turning research code into robust, interoperable infrastructure.
10 years of coding experience
25 years of employment as a software developer
University of California San DiegoPostdoctoral Research Associate, Computational Neuroscience, Postdoctoral Research Associate, Computational Neuroscience at Carnegie Mellon University
Github Skills (168)
programming-language10
internet-radio10
computational-neuroscience10
python10
perl10
deep-learning10
julialang10
root-finding10
neural-network10
science10
music10
julia10
numerical10
data-science10
python-interface10
Programming languages (11)
Github contributions (5)
rgobbel/jetson-containers
Apr 2024 - Apr 2025
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
Contributions:9 pushes in 11 months
rgobbel/tensorflow
Apr 2016 - Oct 2018
Contributions:8 pushes, 3 branches, 3 tags in 2 years 6 months
computationscalabledata-sciencemachine-learninggraphs
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