Susan Kuo is a postdoctoral fellow in Elise Robinson’s lab at the Broad Institute of MIT and Harvard in Cambridge, Massachusetts.
Susan Kuo
Postdoctoral fellow
Broad Institute of MIT and Harvard
From this contributor
What developmental milestones say about autism research: A conversation with Susan Kuo and Elise Robinson
Shifts in diagnostic criteria have only added to the condition’s bedeviling heterogeneity, an analysis of smiling, sitting, walking and other early milestones in more than 17,000 autistic children reveals.
What developmental milestones say about autism research: A conversation with Susan Kuo and Elise Robinson
By
Sarah DeWeerdt
10 August 2022 | 7 min read
Explore more from The Transmitter
‘Neuroethics: The Implications of Mapping and Changing the Brain,’ an excerpt
In his new book, published today, philosopher Walter Glannon examines the ethics of six areas of neuroscience. In Chapter 4, a portion of which appears below, he tackles the ethical considerations of using brain organoids in research.
‘Neuroethics: The Implications of Mapping and Changing the Brain,’ an excerpt
In his new book, published today, philosopher Walter Glannon examines the ethics of six areas of neuroscience. In Chapter 4, a portion of which appears below, he tackles the ethical considerations of using brain organoids in research.
By
Walter Glannon
11 November 2025 | 7 min read
Teasing out mosaicism cell by cell; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 10 November.
Teasing out mosaicism cell by cell; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 10 November.
By
Jill Adams
11 November 2025 | 2 min read
Without monkeys, neuroscience has no future
Research in primate brains has been essential for the development of brain-computer interfaces and artificial neural networks. New funding and policy changes put the future of such advances at risk.
Without monkeys, neuroscience has no future
Research in primate brains has been essential for the development of brain-computer interfaces and artificial neural networks. New funding and policy changes put the future of such advances at risk.
By
Cory Miller, J. Anthony Movshon, Doris Tsao
10 November 2025 | 7 min listen