Saskia Haegens
Associate Professor
New York, New York, United States
Summary
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Senior🎓
Top SchoolSaskia Haegens is an Associate Professor and neuroscience researcher based in New York with 16 years of experience bridging cognitive neuroscience and neurotechnology. Her career spans doctoral training at Radboud University through postdoctoral and research scientist roles at Columbia and the New York State Psychiatric Institute, where she leads work on neural oscillations and brain signal analysis. She combines rigorous academic leadership with hands-on technical contributions to open-source tools for EEG/MEG analysis—having improved plotting and visualization capabilities in the widely used FieldTrip MATLAB toolbox. Known for translating complex electrophysiological methods into reproducible workflows, she mentors interdisciplinary teams and advances translational research in clinical neuropsychiatry. An interesting thread in her profile is the blend of political science and human movement science early in her training, which informs her broad, systems-level perspective on brain function.
16 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD) Neuroscience, Doctor of Philosophy (PhD) Neuroscience at Radboud UniversityBachelor of Science (BSc) Human Movement Sciences, Bachelor of Science (BSc) Human Movement Sciences at Vrije Universiteit Amsterdam (VU Amsterdam)
Dutch, English, German, French, Spanish
Github Skills (6)
analyse10
matlab10
plot10
neuroimaging10
megaparsec9
statistics7
Programming languages (1)
Github contributions (1)
fieldtrip/fieldtrip
Oct 2009 - Feb 2013
The MATLAB toolbox for MEG, EEG and iEEG analysis
Role in this project:
Back-end Developer
Back-end DeveloperContributions:56 commits in 3 years 4 months
Contributions summary:Saskia contributed to the MATLAB toolbox for MEG, EEG, and iEEG analysis by adding and modifying plotting functions. Their commits include adding and updating options for line properties such as linewidth, color, and linestyle, and giving these properties as input arguments to the line function. The user also added new options for the `singleplotER` and `multiplotER` functions.
brainneurosciencetime-frequencyfieldtripieeg
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