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
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
Glowing capsule illuminates problems in gut
An ingestible electronic capsule enables researchers to instantaneously detect molecules associated with gastrointestinal issues.
Explore more from The Transmitter
Leucovorin saga, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 15 June.
Leucovorin saga, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 15 June.
Models at the speed of thought: How AI coding is reshaping theoretical neuroscience
Agentic coding makes it possible to specify a neuroscience model in hours instead of months. Seven neuroscientists weigh in on what that tectonic change may bring to the field.
Models at the speed of thought: How AI coding is reshaping theoretical neuroscience
Agentic coding makes it possible to specify a neuroscience model in hours instead of months. Seven neuroscientists weigh in on what that tectonic change may bring to the field.
Writing science that humans and machines can read
Large language models are now routinely used to search, summarize and synthesize the literature at scales impossible for any individual researcher—yet scientific publishing has not adapted to that reality.
Writing science that humans and machines can read
Large language models are now routinely used to search, summarize and synthesize the literature at scales impossible for any individual researcher—yet scientific publishing has not adapted to that reality.