Hazel Sive
Professor
Massachussetts Institute of Technology
From this contributor
How to undo stereotypes that hinder women in science
Late this summer, a paper from Yale University researchers led by Jo Handelsman delivered some sobering news: There is still a clear bias against female scientists. The findings confirm the impression of many women in science, at all career levels, who feel undervalued.
How to undo stereotypes that hinder women in science
How fish can help find causes of autism
Zebrafish share genes and pathways with humans, making them a useful tool to identify the genes that malfunction in autism, says expert Hazel Sive.
How fish can help find causes of autism
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.