Emily Singer commissions and edits scientist-written content and develops new resources for the community. She joined The Transmitter in 2023 and has previously held a variety of editorial roles at the Simons Foundation, including editor for neuroscience collaborations, and senior biology writer and contributing editor at Quanta Magazine. Before joining the foundation, she was biomedical editor at Technology Review.
Emily Singer
Chief opinion editor
The Transmitter
From this contributor
Amid funding uncertainty, neuroscientists report a mix of cynicism, persistence
How insights from network theory can boost interdisciplinary efforts
Education
- Certificate in science communication, University of California, Santa Cruz
- B.A. in biology, University of California, Santa Cruz
Fellowships
- AAAS Mass Media Fellowship
Explore more from The Transmitter
Commentary: Citation graphs may underestimate neuroscience’s influence on AI
An alternative, albeit less quantitative, way to trace this history is through the people who carried ideas between the fields.
Commentary: Citation graphs may underestimate neuroscience’s influence on AI
An alternative, albeit less quantitative, way to trace this history is through the people who carried ideas between the fields.
Commentary: The rising absolute number of neuro-inspired AI papers represents a substantial footprint
Many of the design choices present in the current generation of artificial-intelligence tools parallel purported properties of the brain.
Commentary: The rising absolute number of neuro-inspired AI papers represents a substantial footprint
Many of the design choices present in the current generation of artificial-intelligence tools parallel purported properties of the brain.
Examining the bridge between neuroscience and AI
A citation analysis reveals that the connection between the two fields is real and gaining momentum. But it’s also narrow and tool-heavy; we need to find ways to widen it.
Examining the bridge between neuroscience and AI
A citation analysis reveals that the connection between the two fields is real and gaining momentum. But it’s also narrow and tool-heavy; we need to find ways to widen it.