Emma Young is an award-winning science and health journalist and the author of Sane: How I shaped up my mind, improved my mental strength, and found calm. A former reporter and editor for New Scientist, working in London and Sydney, she now freelances from an attic in Sheffield. As E L Young (in the UK, Emma in the USA), she is also the author of the STORM series of science-based thrillers for kids.
Emma Young
From this contributor
For people with alexithymia, emotions are a mystery
One in 10 people struggle to recognize their emotions. New research suggests a vital link between our ability to sense our physical bodies and knowing how we feel.
For people with alexithymia, emotions are a mystery
By
Emma Young, Mosaic
22 February 2019 | 17 min read
Explore more from The Transmitter
The term ‘model organism’ should be reserved for biological systems
By referring to artificial neural networks as model organisms, we run the risk of distorting funding priorities and disregard the explanatory power of a shared evolutionary history across biological organisms.
The term ‘model organism’ should be reserved for biological systems
By referring to artificial neural networks as model organisms, we run the risk of distorting funding priorities and disregard the explanatory power of a shared evolutionary history across biological organisms.
By
Marc Coutanche
13 November 2026 | 6 min read
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.
By
Claudia López Lloreda
12 November 2026 | 1 min watch
Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.
Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.
By
Giorgia Guglielmi
12 November 2026 | 4 min read