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
Machine learning spots neural progenitors in adult human brains
But the finding has not settled the long-standing debate over the existence and extent of neurogenesis during adulthood, says Yale University neuroscientist Juan Arellano.
Machine learning spots neural progenitors in adult human brains
But the finding has not settled the long-standing debate over the existence and extent of neurogenesis during adulthood, says Yale University neuroscientist Juan Arellano.
By
Claudia López Lloreda
3 July 2025 | 7 min listen
Xiao-Jing Wang outlines the future of theoretical neuroscience
Wang discusses why he decided the time was right for a new theoretical neuroscience textbook and how bifurcation is a key missing concept in neuroscience explanations.
Xiao-Jing Wang outlines the future of theoretical neuroscience
Wang discusses why he decided the time was right for a new theoretical neuroscience textbook and how bifurcation is a key missing concept in neuroscience explanations.
By
Paul Middlebrooks
2 July 2025 | 112 min listen
Memory study sparks debate over statistical methods
Critics of a 2024 Nature paper suggest the authors failed to address the risk of false-positive findings. The authors argue more rigorous methods can result in missed leads.
Memory study sparks debate over statistical methods
Critics of a 2024 Nature paper suggest the authors failed to address the risk of false-positive findings. The authors argue more rigorous methods can result in missed leads.
By
Katie Moisse
2 July 2025 | 5 min read