Shaul Druckmann
Associate Professor
Palo Alto, California, United States
Summary
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Senior🎓
Top SchoolShaul 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.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD), Computational neuroscience, Doctor of Philosophy (PhD), Computational neuroscience at The Hebrew University
English, Hebrew, Italian, Latin
Github Skills (9)
recording4
mathematical2
optuna1
vscode1
machine-learning1
jupyter-notebook1
python1
vscode-extension1
optimization1
Programming languages (4)
Github contributions (5)
shauld/temp_learning_website
Mar 2020 - Mar 2020
Contributions:3 pushes, 1 branch in 1 day
zqwei/Im-phys-org
Jul 2017 - Jun 2019
This is a developing website for our project of neural recording methodologies comparison.
Contributions:7 commits, 5 PRs, 2 pushes in 1 year 10 months
developingcomparisonrecordingmethodologiesneural-recording
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