Jef (an unusual nickname for Jennifer) is a freelance writer and editor covering the life sciences. She earned her master’s degree from Indiana University in April 2009 studying the mating behavior of seahorses and spent the first 13 years of her career at The Scientist, where she edited features and oversaw the production of the publication’s digital and print magazines. In 2022, her feature on uterus transplantation earned first place in the trade category of the Awards for Excellence in Health Care Journalism. She is a member of the National Association of Science Writers.
Jef Akst
Contributing writer
From this contributor
Protein networks identified in autism-linked genetic deletion
The OTUD7A gene, which may account for some traits in people missing a segment of chromosome 15, appears to interact with several known autism-linked genes.
Protein networks identified in autism-linked genetic deletion
By
Jef Akst
28 February 2023 | 6 min read
Simons Foundation clinical research head Wendy Chung to lead Boston Children’s pediatrics department
Chung, a clinical and molecular geneticist, plans to continue serving as principal investigator of two large research projects involving cohorts of people with autism and related neurodevelopmental conditions.
Simons Foundation clinical research head Wendy Chung to lead Boston Children’s pediatrics department
By
Jef Akst
14 February 2023 | 5 min read
Head motion mars most fMRI results, even after correction
A new measure shows how greatly movement influences associations between traits and brain activity, revealing abundant false positives and false negatives.
Head motion mars most fMRI results, even after correction
By
Jef Akst
30 January 2023 | 6 min read
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The term ‘model organism’ should be reserved for biological systems
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13 November 2026 | 6 min read
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.
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Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.
Machine-learning model spots autism-linked variants that scramble splicing
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Giorgia Guglielmi
12 November 2026 | 4 min read