Richard Gao
Curriculum Chair For Computational Neuroscience
Frankfurt, Hesse, Germany
Summary
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Rockstar🎓
Top SchoolRichard 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.
12 years of coding experience
6 years of employment as a software developer
University of California, San DiegoBachelor of Applied Science (BASc) Bioengineering and Biomedical Engineering, Bachelor of Applied Science (BASc) Bioengineering and Biomedical Engineering at University of Toronto
Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (39)
simulation10
pytorch10
computational-neuroscience10
spectra10
signal-processing10
machine-learning10
electrophysiology10
periodic10
digital-signal-processing10
neuroscience10
parameter-estimation10
stochastic-processes10
biomedical10
bayesian-inference10
python9
Programming languages (5)
Github contributions (5)
rdgao/neurodsp
Aug 2017 - Sep 2019
Tools for the Voytek Lab and friends to analyze neural time series
Contributions:81 pushes, 7 branches in 2 years
time-series
rdgao/WH2CogSci
Jan 2018 - Jun 2019
Code for scraping various Cognitive Science journals for their publication information
Contributions:1 release, 35 commits, 27 pushes in 1 year 4 months
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