Shweta Karikehalli is an environmental and science journalist based in New York City. Prior to joining _Spectrum_, Shweta was an editorial fellow at _Audubon_ magazine and worked for the _Daily Orange_, Syracuse University’s award-winning independent newspaper, as a copy editor and reporter. She has an M.A. in magazine, newspaper and online journalism from the S.I. Newhouse School of Public Communications and a B.S. in conservation biology from the SUNY College of Environmental Science and Forestry.
Shweta Karikehalli
From this contributor
‘Zombie’ pig brains fire hours after death
A new method restores blood flow and some functions in pig brains four hours after the animals have died.
New method creates complex, long-lived brain ‘organoids’
A new method for growing brain organoids allows them to survive for up to a year — more than four times as long as is possible with other methods.
New method creates complex, long-lived brain ‘organoids’
Mighty magnet promises to render human brain in intricate detail
A new magnetic resonance imaging machine has the power to reveal the brain’s structure and activity at unprecedented resolution.
Mighty magnet promises to render human brain in intricate detail
Genome catalog bolsters global microbiome research
The largest-yet attempt to characterize the global diversity of the human microbiome — the population of microbes that live in our bodies — has found 4,930 species, 77 percent of which were previously unknown.
Genome catalog bolsters global microbiome research
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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.
Future of AI brain models sparks debate
Neuroscientists are divided about whether foundation models that predict brain responses will help the field understand how brains work.
Future of AI brain models sparks debate
Neuroscientists are divided about whether foundation models that predict brain responses will help the field understand how brains work.