Emily Laber-Warren heads the health and science reporting program at the Craig Newmark Graduate School of Journalism at the City University of New York. She has been a staff editor at Popular Science, The Sciences, Scientific American Mind, and Women’s Health.
Emily Laber-Warren
From this contributor
Shafali Jeste: Early autism meets its match
Shafali Jeste has spent the bulk of her scientific career searching for biological markers of autism. Her goal: to improve lives through early diagnosis and speedy testing of therapies.
Shafali Jeste: Early autism meets its match
By
Emily Laber-Warren
30 November 2021 | 11 min read
The benefits of special interests in autism
Researchers are studying how the intense passions of autistic people shape the brain, improve well-being and enhance learning.
The benefits of special interests in autism
By
Emily Laber-Warren
12 May 2021 | 18 min read
How autism shapes sibling relationships
Having an autistic brother or sister can pose challenges, but it can also make children patient, empathetic and resilient.
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How to collaborate with AI
To make the best use of LLMs in research, turn your scientific question into a set of concrete, checkable proposals, wire up an automatic scoring loop, and let the AI iterate.
How to collaborate with AI
To make the best use of LLMs in research, turn your scientific question into a set of concrete, checkable proposals, wire up an automatic scoring loop, and let the AI iterate.
By
Kenneth Harris
19 January 2026 | 6 min read
How artificial agents can help us understand social recognition
Neuroscience is chasing the complexity of social behavior, yet we have not answered the simplest question in the chain: How does a brain know “who is who”? Emerging multi-agent artificial intelligence may help accelerate our understanding of this fundamental computation.
How artificial agents can help us understand social recognition
Neuroscience is chasing the complexity of social behavior, yet we have not answered the simplest question in the chain: How does a brain know “who is who”? Emerging multi-agent artificial intelligence may help accelerate our understanding of this fundamental computation.
By
Eunji Kong
16 January 2026 | 5 min read
Methodological flaw may upend network mapping tool
The lesion network mapping method, used to identify disease-specific brain networks for clinical stimulation, produces a nearly identical network map for any given condition, according to a new study.
Methodological flaw may upend network mapping tool
The lesion network mapping method, used to identify disease-specific brain networks for clinical stimulation, produces a nearly identical network map for any given condition, according to a new study.
By
Angie Voyles Askham
15 January 2026 | 7 min read