Rachel Moseley is principal academic in psychology at Bournemouth University in the United Kingdom. Her research centers around issues that autistic adults face, including mental ill-health, suicidality, self-injury, aging and late diagnosis. She also investigates aspects of cognition and social communication in autistic people and how these differ depending on personal characteristics, such as sex.
Rachel Moseley
Principal academic
Bournemouth University
From this contributor
Autism and menopause: Q&A with Rachel Moseley and Julie Turner-Cobb
Menopause poses significant challenges for autistic people, according to a small survey published in 2020 — the first to explore the transition among people with autism traits.
Autism and menopause: Q&A with Rachel Moseley and Julie Turner-Cobb
Autism and eating disorders may have an emotional connection
Eating disorders have the highest mortality rates of any kinds of mental illness. They don’t discriminate, affecting people of all ethnicities, sexualities, gender identities, ages and backgrounds.
Autism and eating disorders may have an emotional connection
Explore more from The Transmitter
Home makeover helps rats better express themselves: Q&A with Raven Hickson and Peter Kind
The “Habitat”—a complex environment with space for large social groups—expands the behavioral repertoire of rodent models, Hickson and Kind say.
Home makeover helps rats better express themselves: Q&A with Raven Hickson and Peter Kind
The “Habitat”—a complex environment with space for large social groups—expands the behavioral repertoire of rodent models, Hickson and Kind say.
Tatiana Engel explains how to connect high-dimensional neural circuitry with low-dimensional cognitive functions
Neuroscientists have long sought to understand the relationship between structure and function in the vast connectivity and activity patterns in the brain. Engel discusses her modeling approach to discovering the hidden patterns that connect the two.
Tatiana Engel explains how to connect high-dimensional neural circuitry with low-dimensional cognitive functions
Neuroscientists have long sought to understand the relationship between structure and function in the vast connectivity and activity patterns in the brain. Engel discusses her modeling approach to discovering the hidden patterns that connect the two.
Beyond the algorithmic oracle: Rethinking machine learning in behavioral neuroscience
Machine learning should not be a replacement for human judgment but rather help us embrace the various assumptions and interpretations that shape behavioral research.
Beyond the algorithmic oracle: Rethinking machine learning in behavioral neuroscience
Machine learning should not be a replacement for human judgment but rather help us embrace the various assumptions and interpretations that shape behavioral research.