Kate Yandell is a Philadelphia-based freelance writer with a love for genomics and neuroscience. She writes for Spectrum‘s Toolbox section.
Kate Yandell
Contributing Writer
Spectrum
From this contributor
With new part, CRISPR can cut RNA in living cells
A new version of the gene-editing tool CRISPR can target and cut RNA, offering a way to tinker with the expression of autism genes.
With new part, CRISPR can cut RNA in living cells
By
Kate Yandell
15 July 2016 | 2 min read
Sequencing approach bares large variety of brain cell types
Analyzing gene expression in a vision center of the mouse brain has revealed 49 different classes of cells.
Sequencing approach bares large variety of brain cell types
By
Kate Yandell
24 February 2016 | 2 min read
Precise program traces firing patterns in neural networks
By tracking calcium’s movement, a new algorithm simultaneously delineates individual neurons’ shapes as well as their firing patterns.
Precise program traces firing patterns in neural networks
By
Kate Yandell
17 February 2016 | 2 min read
Simple steps let star-shaped brain cells thrive in culture
A new method allows researchers to culture cells known as astrocytes from human brains.
Simple steps let star-shaped brain cells thrive in culture
By
Kate Yandell
10 February 2016 | 3 min read
Method marks variants among repeated DNA segments
A new tool trawls sequencing data to reveal single-letter DNA swaps within large duplications.
Method marks variants among repeated DNA segments
By
Kate Yandell
9 December 2015 | 2 min read
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Models at the speed of thought: How AI coding is reshaping theoretical neuroscience
Agentic coding makes it possible to specify a neuroscience model in hours instead of months. Six neuroscientists weigh in on what that tectonic change may bring to the field.
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Writing science that humans and machines can read
Large language models are now routinely used to search, summarize and synthesize the literature at scales impossible for any individual researcher—yet scientific publishing has not adapted to that reality.
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Large language models are now routinely used to search, summarize and synthesize the literature at scales impossible for any individual researcher—yet scientific publishing has not adapted to that reality.
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15 June 2026 | 7 min read