Katie Moisse is contributing editor and former news editor at The Transmitter. She teaches science communication at McMaster University in Hamilton, Ontario, Canada. She has a Ph.D. in neuropathology from the University of Western Ontario and an M.S. in journalism from Columbia University.
Katie Moisse
Contributing editor
The Transmitter
From this contributor
Frameshift: How Caitlin Vander Weele made science communication her business
Her favorite part of research was talking about it. So she left academia and turned that passion into a successful company.
Frameshift: How Caitlin Vander Weele made science communication her business
By
Katie Moisse
19 March 2026 | 6 min read
Frameshift: Raphe Bernier followed his heart out of academia, then made his way back again
After a clinical research career, an interlude at Apple and four months in early retirement, Raphe Bernier found joy in teaching.
Frameshift: Raphe Bernier followed his heart out of academia, then made his way back again
By
Katie Moisse
20 February 2026 | 8 min read
Frameshift: At a biotech firm, Ubadah Sabbagh embraces the expansive world outside academia
As chief of staff at Arcadia, Ubadah Sabbagh gets to do science while also pushing the boundaries of how science gets done.
Frameshift: At a biotech firm, Ubadah Sabbagh embraces the expansive world outside academia
By
Katie Moisse
20 January 2026 | 7 min read
Frameshift: Shari Wiseman reflects on her pivot from science to publishing
As chief editor of Nature Neuroscience, Wiseman applies critical-thinking skills she learned in the lab to manage the journal’s day-to-day operations.
Frameshift: Shari Wiseman reflects on her pivot from science to publishing
By
Katie Moisse
15 December 2025 | 7 min read
The spectrum goes multidimensional in search of autism subtypes
Grouping people with autism based on shared features, genetics and co-occurring conditions may improve clinical trial outcomes, researchers say.
The spectrum goes multidimensional in search of autism subtypes
By
Katie Moisse
14 August 2025 | 7 min read
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Why neural foundation models work, and what they might—and might not—teach us about the brain
These models can partly generalize across species, brain regions and tasks, suggesting that a set of machine-learnable rules govern neural population activity. But will we be able to understand them?
Why neural foundation models work, and what they might—and might not—teach us about the brain
These models can partly generalize across species, brain regions and tasks, suggesting that a set of machine-learnable rules govern neural population activity. But will we be able to understand them?
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Juan Gallego
13 April 2026 | 8 min read
Error equation predicts brain’s ability to generalize
Four statistical measurements of neural network geometry capture how well brains and artificial networks use what they already know to solve new problems, a study suggests.
Error equation predicts brain’s ability to generalize
Four statistical measurements of neural network geometry capture how well brains and artificial networks use what they already know to solve new problems, a study suggests.
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Natalia Mesa
10 April 2026 | 5 min read
Embrace complexity to improve the translatability of basic neuroscience
Researchers must learn to view heterogeneity as an essential feature of the systems they study and a central consideration in experimental design, not a variable to control for or reduce.
Embrace complexity to improve the translatability of basic neuroscience
Researchers must learn to view heterogeneity as an essential feature of the systems they study and a central consideration in experimental design, not a variable to control for or reduce.
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Linda Douw, Klaus Eyer, Lara Keuck
9 April 2026 | 5 min read