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
Timing tweak turns trashed fMRI scans into treasure
Leveraging start-up “dummy scans,” which are typically discarded in imaging analyses, can shorten an experiment’s length and make data collection more efficient, a new study reveals.
Timing tweak turns trashed fMRI scans into treasure
Leveraging start-up “dummy scans,” which are typically discarded in imaging analyses, can shorten an experiment’s length and make data collection more efficient, a new study reveals.
By
Angie Voyles Askham
13 November 2025 | 6 min listen
Perimenopause: An important—and understudied—transition for the brain
Many well-known perimenopause symptoms arise in the brain, but we still know little about the specific mechanisms at play. More research—in both animals and humans—is essential.
Perimenopause: An important—and understudied—transition for the brain
Many well-known perimenopause symptoms arise in the brain, but we still know little about the specific mechanisms at play. More research—in both animals and humans—is essential.
By
Marija Kundakovic
12 November 2025 | 7 min listen
A community-designed experiment tests open questions in predictive processing
More than 50 scientists came together to identify the key missing data needed to rigorously test theoretical models.
A community-designed experiment tests open questions in predictive processing
More than 50 scientists came together to identify the key missing data needed to rigorously test theoretical models.
By
Jérôme Lecoq
12 November 2025 | 6 min read