Jen Monnier is an intern at Spectrum. She is a journalist in New York City, covering medicine, technology and ecosystems. She’s also a graduate student at New York University’s Science, Health and Environmental Reporting program.
Jen Monnier
From this contributor
Early interventions, explained
The accepted wisdom in autism research holds that early intervention offers the best promise for an autistic child’s well-being. But how effective are these therapies?
Multipart device monitors various senses in babies
A new assemblage of tools precisely gauges a baby’s biological response to sights, sounds and tactile stimuli all at once.
Multipart device monitors various senses in babies
By
Jen Monnier
17 August 2018 | 2 min read
New consortium may create projects, funding for autism research
A newly formed group of leaders from the U.S. National Institutes of Health (NIH) is poised to generate funding opportunities for child health research, including autism science.
New consortium may create projects, funding for autism research
By
Jen Monnier
2 August 2018 | 3 min read
Glowing capsule illuminates problems in gut
An ingestible electronic capsule enables researchers to instantaneously detect molecules associated with gastrointestinal issues.
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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