Richard Gast
Postdoctoral Researcher at Scripps Research
San Diego, California, United States
Summary
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Senior🎓
Top SchoolRichard Gast is a postdoctoral researcher with a decade of experience building biophysically grounded neural network models to probe dynamic interactions and information flow in brain networks. He develops open-source Python tools for model definition, simulation, and parameter exploration, combining rigorous mathematical modeling with practical software engineering. Trained with a summa cum laude doctorate in neuroscience and a background in cognitive science and psychology, he bridges theory, computation, and experimental relevance. Now based in San Diego, he studies structure–function relationships in complex networks and how network topology shapes modes of neural information transmission. A detail that sets him apart: he focuses on interpretable, mechanism-driven models rather than black-box approaches, enabling principled hypothesis testing across scales.
10 years of coding experience
7 years of employment as a software developer
Dr. rer. nat, Neuroscience, Summa cum laude, Dr. rer. nat, Neuroscience, Summa cum laude at Universität LeipzigMaster of Science - MS, Cognitive Science, 1.0, Master of Science - MS, Cognitive Science, 1.0 at Universität Osnabrück
English, German
Github Skills (39)
pytorch10
python10
simulations10
dynamical-systems10
matlab10
differential-equations10
code-generation10
scientific-computing10
julia10
numpy9
tensorflow9
nonlinear-optimization5
continuation4
ode4
mixed-integer-programming4
Programming languages (3)
Github contributions (5)
Richert/DynamicalSystems
Jan 2022 - Mar 2025
Contributions:733 pushes in 3 years 2 months
pyrates-neuroscience/PyCoBi
Jan 2022 - Feb 2023
Contributions:16 releases, 59 commits, 55 pushes in 1 year
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