Richard Gao

W1 Tenure Track Professor at Goethe University Frankfurt

Tübingen, Baden-Württemberg, Germany
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Summary

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Richard Gao is a computational neuroscientist and machine learning researcher with 12 years of experience bridging cognitive science, neural dynamics, and AI. Currently a W1 Tenure Track Professor in Tübingen and Research Team Lead for AI4Neuroscience at Sigma Nova, he builds teams and models aimed at mechanistic, brain-inspired foundation models. His work—shaped by a Marie Curie postdoc and a PhD in Cognitive Science from UC San Diego—focuses on rhythms and chaos in the brain and automated model inference from neural activity. Known for translating neuroscientific insight into scalable ML approaches, he also teaches and mentors, with a practical streak evidenced by open course materials and EEG-analysis projects.
code11 years of coding experience
job6 years of employment as a software developer
bookUniversity of California, San Diego
bookBachelor of Applied Science (BASc), Bioengineering and Biomedical Engineering, Bachelor of Applied Science (BASc), Bioengineering and Biomedical Engineering at University of Toronto
languagesChinese
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Stackoverflow

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Github Skills (52)

simulation10
pytorch10
mls10
computational-neuroscience10
spectra10
signal-processing10
machine-learning10
electrophysiology10
periodic10
signal10
dtw10
digital-signal-processing10
brain-computer-interface10
neuroscience10
parameter-estimation10

Programming languages (5)

TypeScriptJavaScriptJupyter NotebookMATLABPython

Github contributions (5)

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rdgao/dotconfigs

Feb 2018 - May 2022

Contributions:9 pushes, 1 branch in 4 years 3 months
Contributions:11 commits, 9 pushes in 1 year 10 months
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Richard Gao - W1 Tenure Track Professor at Goethe University Frankfurt