Sandy Keenan edits Viewpoint and news articles for Spectrum. She is a New York-based journalist who has enjoyed a richly varied career — as reporter, editor and newsroom manager — with The New York Times and Newsday. She started out as a sportswriter for the Miami Herald, then moved on to Sports Illustrated and then Newsday, where she transitioned from covering Knicks, Mets and Yankees games on deadline into editing and over to news. She eventually became Newsday‘s assistant managing editor in charge of news, investigations and narrative projects. More recently, with the Times, she served as environment editor, deputy sports editor and a staff writer for the Home & Garden section.
Sandy Keenan
Contributing Editor
Spectrum
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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.
By
Marc Coutanche
13 November 2026 | 6 min read
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.
By
Claudia López Lloreda
12 November 2026 | 1 min watch
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.
By
Giorgia Guglielmi
12 November 2026 | 4 min read