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
Links between tuberous sclerosis complex and autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 17 August.
Links between tuberous sclerosis complex and autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 17 August.
The fun and flexibility of data science
Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
The fun and flexibility of data science
Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
Mind over metrics: How can we tell if two brains (or AI models) are alike?
The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.
Mind over metrics: How can we tell if two brains (or AI models) are alike?
The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.