Tomas Knapen
Principal Investigator
Amsterdam, North Holland, Netherlands
Summary
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Senior🎓
Top SchoolTomas Knapen is a Principal Investigator in computational neuroimaging based in Amsterdam with 11 years of research experience translating large-scale brain data into mechanistic insights about perception and visual stability. He leads a research group at KNAW, combining experiment design, high-throughput data acquisition and custom analysis pipelines (Python, C, MATLAB, Mathematica, SQL, Unix) to study perceptual decision-making using fMRI, eye-tracking and MEG. Trained as a physicist-neuroscientist (PhD, Utrecht) and seasoned by postdocs in Amsterdam and Paris, he bridges rigorous experimental methods with low-level hardware and sequence testing for imaging platforms. Colleagues rely on him for robust timeseries analysis, MR-sequence validation and integrating atypical hardware (Siemens, Philips, Nixdorf) into reproducible workflows. Fluent in five languages, he’s equally comfortable coding OpenGL visual stimuli as he is teaching brain-imaging techniques and mentoring early-career researchers. An understated strength is his knack for turning messy, ambiguous sensory data into clear, testable models that generalize across modalities.
11 years of coding experience
Doctor of Philosophy (Ph.D.), Neuroscience / Experimental Physics, Doctor of Philosophy (Ph.D.), Neuroscience / Experimental Physics at Utrecht UniversityMaster's degree, Neurobiology and Neurosciences, Master's degree, Neurobiology and Neurosciences at University of Amsterdam
English, French, German, Dutch
Github Skills (52)
routines10
nsd10
topological-data-analysis10
surface10
convert9
file-format9
python9
neuroimaging9
tabular9
openexr9
aerospike8
delta8
minimize8
apptainer8
visualization8
Programming languages (7)
Github contributions (5)
VU-Cog-Sci/PRF_experiment
May 2015 - Mar 2019
Contributions:54 commits, 10 pushes, 1 branch in 3 years 10 months
tknapen/braincoder
Aug 2022 - Feb 2025
Encoding models for fMRI implemented in tensorflow
Contributions:2 PRs, 6 pushes, 3 branches in 2 years 7 months
fmriautoencodertensorflowencoding
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