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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Trading places: What happens when neuroscience turns into machine learning, and machine learning turns into neuroscience?
Neuroscience has become increasingly concerned with prediction, and machine learning with causal explanation, with each field adopting methods from the other. I asked eight experts to weigh in on what we stand to learn from this exchange.
Trading places: What happens when neuroscience turns into machine learning, and machine learning turns into neuroscience?
Neuroscience has become increasingly concerned with prediction, and machine learning with causal explanation, with each field adopting methods from the other. I asked eight experts to weigh in on what we stand to learn from this exchange.
Exon-skipping approach boosts levels of key Rett syndrome protein
Deleting a small region of the MECP2 gene partially restored function in neurons derived from people with Rett-associated variants.
Exon-skipping approach boosts levels of key Rett syndrome protein
Deleting a small region of the MECP2 gene partially restored function in neurons derived from people with Rett-associated variants.
Frameshift: How Caitlin Vander Weele made science communication her business
Her favorite part of research was talking about it. So she left academia and turned that passion into a successful company.
Frameshift: How Caitlin Vander Weele made science communication her business
Her favorite part of research was talking about it. So she left academia and turned that passion into a successful company.