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Dr. Rebecca Dikow

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Data Scientist

Rebecca Dikow is a Research Data Scientist and leads the Smithsonian Institution Data Science Lab. She has a B.S. in Biology from Cornell University and a Ph.D. in Evolutionary Biology from the University of Chicago. Her dissertation research focused on using whole-genome data to build evolutionary trees (phylogenies). After the completion of her Ph.D., she was the Biodiversity Genomics postdoctoral fellow at the Smithsonian. She is working with Smithsonian scientists to conduct biodiversity research, including genomics, informatics, and machine learning. She is also an affiliated faculty member in the George Mason University School of Systems Biology.

Follow Rebecca on Twitter: @rdikow

From Our Blog

sample fern
November 2nd, 2017

We are using deep learning to ask interesting questions about digitized herbarium data.

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January 23rd, 2018

Two grants have been funded to support postdoctoral fellows.

DSL at CSHL photo
November 9th, 2018

The Data Science Lab traveled to the Biological Data Science meeting at Cold Spring Harbor Laboratory.

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February 15th, 2019

Our Smithsonian Women's Committee grant proposal was funded to support a postdoctoral fellow.

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Dr. Rebecca Dikow | Smithsonian Data Science Lab


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