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Saskia de Vries, Ph.D.

Principal Product Manager


Saskia de Vries joined the Allen Institute for Brain Science in 2012 as a Scientist in the neural coding team. With a background in systems neuroscience, she has studied visual processing in both vertebrate and invertebrate systems using a combination of physiological, computational, behavioral, and molecular tools to parse how neural circuits process visual information and use that information to select appropriate behavior. At the Allen Institute, she led the team that created the Allen Brain Observatory Visual Coding dataset, a systematic survey of physiological activity in the mouse visual cortex collected using 2-photon calcium imaging, and has published several papers using these data to examine the functional organization of the mouse visual cortex. Recognizing the importance of open science, Saskia has been instrumental in facilitating the accessibility and utilization of the Allen Brain Observatory Visual Coding dataset by scientists beyond the Institute's walls. She has championed this mission by conducting numerous workshops and tutorials since the dataset's initial release.

In 2022, Saskia joined the Allen Institute for Neural Dynamics as the Principal Product Manager. She is working within the Scientific Computing team to build infrastructure and tools that promotes “Science in the Open,” organizing and sharing our data to promote collaboration and data re-use. De Vries received a B.S. from Yale University in Molecular Biophysics and Biochemistry and a Ph.D. in Neurobiology from Harvard University and was a Postdoctoral Scholar in the Department of Neurobiology at Stanford University.

Research Focus:

My research interests are centered on how the brain transforms sensory information into perceptions and appropriate behaviors. Such transformations result from sophisticated computations that are carried out by individual neurons and their interactions within a larger circuit. I seek to understand the cellular and circuit mechanisms that underpin these computations. My research combines optical imaging with computational, behavioral and molecular tools to examine how individual cells function in the visual circuit.

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