Kenna Hughes-Castleberry is science communicator at JILA and editor-in-chief of their journal, Light & Matter. She is also a freelance science journalist. Her beats include quantum technology, artificial intelligence, diversity within the tech industries, animal intelligence, corvids and cephalopods. Her work has been featured in various publications, including Scientific American, New Scientist, Discover Magazine, Ars Technica, Nature Biotechnology, Astronomy Magazine, Leaps Magazine, Hakai Magazine, ChemistryWorld, Physics.org, Colorado Magazine, Inside Quantum Technology, The Debrief and more. She sits on the board of the Science Writers Association of the Rocky Mountains (SWARM) and teaches science writing to graduate students at JILA.
Kenna Hughes-Castleberry
Contributing writer
From this contributor
Number-associated neurons help crows link values to symbols
Comparable neurons also exist in primates, which shared a common ancestor with crows more than 300 million years ago, suggesting that the ability to “count” evolved independently in the two lineages.
Number-associated neurons help crows link values to symbols
By
Kenna Hughes-Castleberry
19 January 2024 | 4 min read
Explore more from The Transmitter
Single-gene systems-level effects, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 6 April.
Single-gene systems-level effects, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 6 April.
By
Jill Adams
7 April 2026 | 2 min read
‘The Brain, In Theory,’ an excerpt
In his new book, Brette pushes back against theories that describe the brain as a “biological computer.” In this excerpt from Chapter 4, he challenges equating brain evolution with programming, and the universality of neural network models.
‘The Brain, In Theory,’ an excerpt
In his new book, Brette pushes back against theories that describe the brain as a “biological computer.” In this excerpt from Chapter 4, he challenges equating brain evolution with programming, and the universality of neural network models.
By
Romain Brette
7 April 2026 | 5 min read
Computational neuroscientist Keith Hengen explains his work through illustrations
The images help him communicate the “big-picture ideas” behind the mathematical principles of neuronal networks.
Computational neuroscientist Keith Hengen explains his work through illustrations
The images help him communicate the “big-picture ideas” behind the mathematical principles of neuronal networks.
By
Helena Kudiabor
7 April 2026 | 4 min read