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Data Science Spotlight: Jennifer Shin

Jennifer Shin is a data scientist, product director, and entrepreneur. We met at the AMNH Hack the Solar System event, where she (and teammate Adam Ibrahim) tackled the hardest data challenge: generating DEM (Digital Elevation Model) files for the surface of Venus. Between the inherent challenge of seeing the surface of a planet when clouds that obscure most of the view, and the very old and strange file format of the NASA Ames Stereo Pipeline, it was a very daunting task. Nevertheless, they persisted, and produced notes about their approach for future data integrators to build from.

After the hackathon ended, we discussed our past experiences with making data actionable through data cleaning, visualization, and statistics. I felt she has had unique journey towards becoming a successful data scientist, and wanted to assemble a list of her public work for myself and others to learn from. She was kind enough to share several links from her recent publications and presentations.




Data Visualization Articles

Select Interviews / Panels / Talks


You will find updates on Jennifer’s work on Twitter at @jennjshin, or through one of her graduate courses at NYU.