Nicholette Zeliadt manages The Transmitters’s staff reporters and interns, and she commissions and edits news articles. She joined The Transmitter as news writer in 2014. Before that, she was a freelance writer and editor. Her work has appeared in The New York Times, Scientific American, Nature Medicine, Science and The Scientist.
Nicholette Zeliadt
Managing editor
The Transmitter
From this contributor
Leaving lasting marks with Tessa Montague
Spotted around the web: INSAR; cerebellar gene expression; pangenome
Spotted around the web: Mapping histones; COVID-19 births; acetaminophen lawsuits
New diagnostic code for PTEN syndrome may spur research
Education
- Ph.D. in environmental health, University of Minnesota
- B.A. in biochemistry, University of Iowa
Fellowships
- AAAS Mass Media Fellowship
Explore more from The Transmitter
Home makeover helps rats better express themselves: Q&A with Raven Hickson and Peter Kind
The “Habitat”—a complex environment with space for large social groups—expands the behavioral repertoire of rodent models, Hickson and Kind say.
Home makeover helps rats better express themselves: Q&A with Raven Hickson and Peter Kind
The “Habitat”—a complex environment with space for large social groups—expands the behavioral repertoire of rodent models, Hickson and Kind say.
Tatiana Engel explains how to connect high-dimensional neural circuitry with low-dimensional cognitive functions
Neuroscientists have long sought to understand the relationship between structure and function in the vast connectivity and activity patterns in the brain. Engel discusses her modeling approach to discovering the hidden patterns that connect the two.
Tatiana Engel explains how to connect high-dimensional neural circuitry with low-dimensional cognitive functions
Neuroscientists have long sought to understand the relationship between structure and function in the vast connectivity and activity patterns in the brain. Engel discusses her modeling approach to discovering the hidden patterns that connect the two.
Beyond the algorithmic oracle: Rethinking machine learning in behavioral neuroscience
Machine learning should not be a replacement for human judgment but rather help us embrace the various assumptions and interpretations that shape behavioral research.
Beyond the algorithmic oracle: Rethinking machine learning in behavioral neuroscience
Machine learning should not be a replacement for human judgment but rather help us embrace the various assumptions and interpretations that shape behavioral research.