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
Long-standing theoretical neuroscience fellowship program loses financial support
Funding from the Swartz and Sloan Foundations helped bring physicists and mathematicians into neuroscience for more than 30 years.
Long-standing theoretical neuroscience fellowship program loses financial support
Funding from the Swartz and Sloan Foundations helped bring physicists and mathematicians into neuroscience for more than 30 years.
By
Calli McMurray
26 August 2025 | 5 min read
Altered excitatory circuits in CHD8-deficient mice; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 25 August.
Altered excitatory circuits in CHD8-deficient mice; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 25 August.
By
Jill Adams
26 August 2025 | 2 min read
Should neuroscientists ‘vibe code’?
Researchers are developing software entirely through natural language conversations with advanced large language models. The trend is transforming how research gets done—but it also presents new challenges for evaluating the outcomes.
Should neuroscientists ‘vibe code’?
Researchers are developing software entirely through natural language conversations with advanced large language models. The trend is transforming how research gets done—but it also presents new challenges for evaluating the outcomes.
By
Benjamin Dichter
25 August 2025 | 7 min read