Gina Jiménez is a health reporter and The Transmitter’s former news reporting intern. She has written for Kaiser Health News, Scientific American and Slate, among other publications. She holds an M.A. in journalism from New York University’s Science, Health and Environmental Reporting Program. See more of her work at https://www.gina-jimenez.com.
Gina Jiménez
Former news reporting intern
The Transmitter
From this contributor
O que significa ‘lar’ para Martín Giurfa
O pesquisador especializado em cognição de insetos já trabalhou em vários continentes, mas a Argentina nunca está longe de seus pensamentos.
Martín Giurfa y la idea de hogar
El investigador de la cognición de insectos ha hecho su trabajo en varios continentes, pero Argentina nunca está lejos de su mente.
Martin Giurfa’s concept of home
The insect-cognition researcher has done his work across continents, but Argentina is never far from his mind.
Cannabis may be rescheduled–what does it mean for neuroscience?
The drug could become much easier to access, increasing the number of researchers who can work with it and the manufacturers who can produce it.
Cannabis may be rescheduled–what does it mean for neuroscience?
By
Gina Jiménez
22 May 2024 | 5 min read
How to use race and ethnicity data responsibly in neuroscience research
Follow these four tips to avoid using the information in problematic ways, including as a proxy for environmental variables.
How to use race and ethnicity data responsibly in neuroscience research
By
Gina Jiménez
24 April 2024 | 6 min read
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The fun and flexibility of data science
Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
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Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
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Mind over metrics: How can we tell if two brains (or AI models) are alike?
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Mind over metrics: How can we tell if two brains (or AI models) are alike?
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