Teresa Madsen
Tech Coordinator
Olympia, Washington, United States
Summary
👤
Senior🎓
Top SchoolTeresa Madsen is a tech-savvy research specialist and data scientist with over a decade of hands-on experience in in vivo electrophysiology, neural signal analysis, and experimental design, now based in Olympia, WA. She built and managed the first chronic multi-electrode recording system at Emory for freely moving rats and led complex analyses of spikes and LFPs using open-source Matlab toolboxes and git. Teresa has transitioned those deep neuroscience and signal-processing skills toward data science projects focused on improving mental health, contributing backend development and QA to the widely used FieldTrip toolbox. She blends rigorous experimental mentorship and technical troubleshooting with practical software engineering, often reworking legacy code and fixing bugs to make research tools more robust. Her unusual mix of wet-lab neuroscience, device-collaboration experience, and open-source contributions positions her to translate complex neural data into actionable insights for clinical and public-good applications.
10 years of coding experience
1 year of employment as a software developer
BA, Neuroscience (Independent Major), BA, Neuroscience (Independent Major) at Grinnell CollegeDoctor of Philosophy - PhD, Neuroscience, Doctor of Philosophy - PhD, Neuroscience at Emory Universityvisiting international student, visiting international student at University College Cork
French, matlab, python, r
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (10)
debug10
analyse10
matlab10
neuroimaging10
testing9
time-frequency9
file-processing8
file-handling8
fileio8
file-access8
Programming languages (2)
Github contributions (5)
fieldtrip/fieldtrip
Jul 2016 - May 2017
The MATLAB toolbox for MEG, EEG and iEEG analysis
Role in this project:
Back-end Developer & QA Engineer
Back-end Developer & QA EngineerContributions:15 commits, 8 PRs, 6 comments in 10 months
Contributions summary:Teresa primarily focused on enhancing and maintaining the `ft_prepare_layout.m` function, adding features such as saving and correctly reading `.mat` layout files. They also addressed a bug by replacing an inaccessible function with a more appropriate one. The user further improved the defaults for configurations related to time-frequency analysis (cfg.toi & cfg.pad) and fixed several bugs in the `read_nex_event.m` file, specifically addressing issues identified through testing. This suggests the user was involved in both development and quality assurance activities.
brainneurosciencetime-frequencyfieldtripieeg
TEMadsen/fieldtrip
May 2016 - Apr 2019
Contributions:292 pushes, 20 branches in 2 years 11 months
matlabtoolboxeeg-analysiseegmeg
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