Ana Pinho
BrainsCAN Postdoctoral Fellow at Western University
Ontario, Canada
Summary
👤
Senior🎓
Top SchoolAna Pinho is a cognitive neuroscientist and BrainsCAN postdoctoral fellow with 11 years of experience bridging Engineering Physics and high-resolution fMRI to map human cognition. Based at Western University and formerly with Inria and NeuroSpin, she investigates neural mechanisms of high-level functions such as musical improvisation and creative thinking, and currently leads the development of a multi-task high-resolution fMRI dataset for the Human Brain Project. Her work combines rigorous statistical methods, neuroinformatics, and hands-on dataset curation, reflecting a rare mix of experimental design and computational rigor. An active contributor to open-source neuroimaging tools, she has improved documentation for the widely used nilearn library, emphasizing accessibility and reproducibility in neuroscience.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Biomedical Sciences, General, Doctor of Philosophy - PhD, Biomedical Sciences, General at Universidade de CoimbraMaster's degree, Engineering Physics, Master's degree, Engineering Physics at Instituto Superior Técnico
Portuguese, English, French
Github Skills (3)
restructuredtext10
documentation10
python3
Programming languages (5)
Github contributions (5)
nilearn/nilearn
Feb 2016 - Jun 2021
Machine learning for NeuroImaging in Python
Role in this project:
Technical Writer
Technical WriterContributions:98 reviews, 26 commits, 6 PRs in 5 years 5 months
Contributions summary:Ana primarily focused on updating and improving the project's documentation. Their commits involved modifying README files to include installation instructions, fixing typos, and adding links to relevant documentation. They also updated the "whats_new.rst" file to reflect changes in the project, indicating a focus on keeping the documentation up-to-date and user-friendly. The edits demonstrate a commitment to ensuring the project's information is accurate and easy to understand.
neuroimagingpythondecodingbrain-connectivitymachine-learning
alpinho/nilearn
Jun 2017 - Dec 2024
Machine learning for NeuroImaging in Python
Contributions:2 PRs, 204 pushes, 12 branches in 7 years 7 months
neural-networkneuroimagingpythonmachine-learning
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