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
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The term ‘model organism’ should be reserved for biological systems
By referring to artificial neural networks as model organisms, we run the risk of distorting funding priorities and disregard the explanatory power of a shared evolutionary history across biological organisms.
The term ‘model organism’ should be reserved for biological systems
By referring to artificial neural networks as model organisms, we run the risk of distorting funding priorities and disregard the explanatory power of a shared evolutionary history across biological organisms.
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.
Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.
Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.