Shaul Druckmann

Associate Professor

Palo Alto, California, United States
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Summary

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Senior
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Top School
Shaul Druckmann is an Associate Professor at Stanford with eight years of focused experience in computational neuroscience, machine learning, and brain-computer interfaces, studying how thoughts turn into actions through densely connected, nonlinear circuits. He combines theoretical modeling with detailed analysis of complex biomedical time series to uncover organizational principles of neural population coding and translate those insights toward improving human health. Previously he led a lab at Janelia (HHMI) where he emphasized theory-driven data analysis free from teaching and grant constraints, and he earned a PhD in computational neuroscience from Hebrew University. His work bridges deep theoretical questions about recurrent network dynamics with practical BCI and clinical applications, and he has been recognized with awards such as the McKnight and Sloan Research Awards. An unexpected thread in his career is a sustained interest in humanities—reflected in an Amirim honors background—bringing broader perspective to technical problems.
code9 years of coding experience
job7 years of employment as a software developer
bookDoctor of Philosophy (PhD), Computational neuroscience, Doctor of Philosophy (PhD), Computational neuroscience at The Hebrew University
languagesEnglish, Hebrew, Italian, Latin
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Github Skills (5)

computational-neuroscience5
neuroscience4
recording3
python2
vscode-extension1

Programming languages (4)

TypeScriptHTMLJupyter NotebookRuby

Github contributions (5)

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shauld/temp_learning_website

Mar 2020 - Mar 2020

Contributions:3 pushes, 1 branch in 1 day
druckmann-lab/lab-website

May 2026 - May 2026

Contributions:5 pushes in 2 days
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