Daisy Yuhas commissions and edits stories for Spectrum on The Transmitter. A freelance science journalist and editor based in Austin, Texas, she has edited features, news and opinions for multiple publications, including SAPIENS and Scientific American MIND. Her writing has appeared in The New York Times, Scientific American, Audubon, The Hechinger Report and Symmetry, among other outlets. (Photograph by Brio Photography)
Daisy Yuhas
Contributing editor
Spectrum
From this contributor
Perspectives from the field: Opinions in autism research
This collection of Spectrum articles from the past 12 months highlights expert perspectives on autism’s heritability and its link to biological sex, the value of transdiagnostic frameworks, and the field’s future, among other topics.
Perspectives from the field: Opinions in autism research
Genetic testing; LSD1 inhibitors; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 30 June.
Dosage of X or Y chromosome relates to distinct outcomes; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 23 June.
Dosage of X or Y chromosome relates to distinct outcomes; and more
Reporter’s notebook: Highlights from INSAR 2025
The annual meeting brought autism researchers, advocates and clinicians to Seattle to discuss the latest research, including attempts to define subgroups, a potential new CHD8 macaque model and life expectancy gaps.
Spectrum 2024: Year in review
We round up our most notable autism stories of the past 12 months.
Explore more from The Transmitter
Trading places: What happens when neuroscience turns into machine learning, and machine learning turns into neuroscience?
Neuroscience has become increasingly concerned with prediction, and machine learning with causal explanation, with each field adopting methods from the other. I asked eight experts to weigh in on what we stand to learn from this exchange.
Trading places: What happens when neuroscience turns into machine learning, and machine learning turns into neuroscience?
Neuroscience has become increasingly concerned with prediction, and machine learning with causal explanation, with each field adopting methods from the other. I asked eight experts to weigh in on what we stand to learn from this exchange.
Exon-skipping approach boosts levels of key Rett syndrome protein
Deleting a small region of the MECP2 gene partially restored function in neurons derived from people with Rett-associated variants.
Exon-skipping approach boosts levels of key Rett syndrome protein
Deleting a small region of the MECP2 gene partially restored function in neurons derived from people with Rett-associated variants.
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
Her favorite part of research was talking about it. So she left academia and turned that passion into a successful company.