Ysis Tarter
Automation Aficionado
Oakland, California, United States
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Ysis Tarter is a staff data engineer at Absci, where deep learning AI and synthetic biology are harnessed to translate ideas into drugs. She leads the development of data platforms and pipelines for high-throughput biological data, as well as scientific tools for data analysis. Ysis is also the co-tech lead of the Bay Area chapter of Black Girls Code and teaches data visualization and analytics. She has lectured at several institutions, including Columbia, Princeton, and UC Berkeley. Ysis holds an MS in Applied Biomedical Engineering from Johns Hopkins University and a BS in Computer Science from Stanford University where she specialized in biocomputation. She has published peer-reviewed articles in the fields of scalable neuroscience and synthetic biological design.
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Big Data Analysis and Visualization with R
Open Data Science Conference - November 1, 2022
https://odsc.com/speakers/big-data-analytics-and-visualization-with-r/
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