Shafaq Zia is a science journalist and a graduate student in the Graduate Program in Science Writing at the Massachusetts Institute of Technology. Previously, she was a reporting intern at STAT, covering the COVID-19 pandemic and the latest research in health technology.
Shafaq Zia
From this contributor
Spotted around the web: COVID-19 during pregnancy, sleep problems, eugenics
Here is a roundup of news and research for the week of 6 June.
Spotted around the web: COVID-19 during pregnancy, sleep problems, eugenics
By
Jill Adams, Angie Voyles Askham, Peter Hess, Shafaq Zia
10 June 2022 | 3 min read
New resource tracks genetic variations in Han Chinese populations
An online database called NyuWa catalogs genetic variations among nearly 3,000 individuals and provides a comprehensive reference genome for the Han people.
New resource tracks genetic variations in Han Chinese populations
By
Shafaq Zia
9 December 2021 | 3 min read
Explore more from The Transmitter
Watching the mind build a world: Lucid dreaming as a model for generative perception
Lucid dreaming offers a rare opportunity to observe and probe perception from within.
Watching the mind build a world: Lucid dreaming as a model for generative perception
Lucid dreaming offers a rare opportunity to observe and probe perception from within.
By
Magdalena Paluchowska
13 July 2026 | 8 min read
From friend to foe: How the brain updates feelings toward others
A specific hippocampus-to-amygdala pathway reassigns emotional valence to a known individual, whereas the hippocampus’s own representation of that individual’s identity remains stable.
From friend to foe: How the brain updates feelings toward others
A specific hippocampus-to-amygdala pathway reassigns emotional valence to a known individual, whereas the hippocampus’s own representation of that individual’s identity remains stable.
By
Natalia Mesa
9 July 2026 | 5 min read
Mass-produced science is coming. What happens to scientists?
Artificial intelligence may soon enable researchers to generate high-quality science at a previously unimaginable speed. For science consumers—the public, medical patients, technology users—the likely effects will be positive. For scientists, the effects will be as disruptive as industrial mass production was for artisan manufacturers.
Mass-produced science is coming. What happens to scientists?
Artificial intelligence may soon enable researchers to generate high-quality science at a previously unimaginable speed. For science consumers—the public, medical patients, technology users—the likely effects will be positive. For scientists, the effects will be as disruptive as industrial mass production was for artisan manufacturers.
By
Kenneth Harris
9 July 2026 | 9 min read