Saskia De Vries is a director-level neuroscientist and data leader with 10+ years driving open-data neuroscience projects at the Allen Institute, where she progressed from bench scientist to Director, Data and Outreach. She co-led the Allen Brain Observatory Visual Coding effort, developed analysis pipelines and tutorials, and contributed code to the widely used AllenSDK for processing large-scale two-photon calcium imaging datasets. Her background blends hands-on electrophysiology and multiphoton imaging with product and outreach leadership, making her adept at translating complex experimental data into reusable public resources. Based in Seattle, she combines deep technical fluency in Python data analysis with a track record of building community-facing tools and workshops. A less obvious strength is her long experience moving between wet-lab experimentation and software engineering, enabling pragmatic solutions that bridge user needs and robust data infrastructure.
10 years of coding experience
13 years of employment as a software developer
Ph.D., Neurobiology, Ph.D., Neurobiology at Harvard University
BS, Molecular Biophysics and Biochemistry, BS, Molecular Biophysics and Biochemistry at Yale University
code for reading and processing Allen Institute for Brain Science data
Role in this project:
Data Scientist
Contributions:1 review, 9 commits, 32 comments in 13 days
Contributions summary:Saskia primarily contributed to the Allen Institute for Brain Science data analysis library, focusing on the `CAM_Analysis_2_NWB.py`, `drifting_grating.py`, and other analysis modules. Their work involved modifying peak response calculations, integrating new parameters, and adjusting analysis pipelines within the context of neuroscience data. They also updated plotting functionalities and fixed issues related to data handling, especially in the `drifting_grating.py` file.
Contributions:100 reviews, 45 PRs, 53 pushes in 1 year 7 months
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