Cheryl Platzman Weinstock is an award–winning journalist who reports about health and science research and its impact on society. Her investigative pieces have brought attention to mental health, medical ethics issues and the medical research gender gap. She also writes for the Metro desk of The New York Times.
Cheryl Platzman Weinstock
From this contributor
The deep emotional ties between depression and autism
Autistic people are four times as likely to experience depression over the course of their lives as their neurotypical peers. Yet researchers know little about why, or how best to help.
The deep emotional ties between depression and autism
By
Cheryl Platzman Weinstock
31 July 2019 | 14 min read
The hidden danger of suicide in autism
Many people with autism entertain thoughts of suicide and yet show few obvious signs of their distress. Some scientists are identifying risks — and solutions — unique to autistic individuals.
The hidden danger of suicide in autism
By
Cheryl Platzman Weinstock
8 August 2018 | 16 min read
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.
By
Jill Adams
18 August 2026 | 1 min read
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.
By
Katie Moisse
18 August 2026 | 7 min read
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.
By
Alex Williams
17 August 2026 | 7 min read