Elissa Welle was a news reporter for The Transmitter from 2023 to 2024, where she covered neurodegeneration and a smorgasbord of other basic neuroscience research. Before joining the newsroom in late 2023, she worked as an intern reporter for Reuters, Nature, STAT News and The Detroit Free Press. She has also written for The Chronicle of Higher Education and her alma mater’s student newspaper, The Michigan Daily. Her days as a scientist were spent designing and fabricating tiny electrodes for single-neuron electrophysiology recordings.
Elissa Welle
Former reporter
The Transmitter
From this contributor
Persistent protein pairing enables memories to last
10 standards for brain electrode-array recordings enhance reproducibility
Climbing to new heights: Q&A with Kaspar Podgorski
Reviving ‘inside-out’ hypothesis of amyloid beta to explain Alzheimer’s mysteries
New method reignites controversy over brain clearance during sleep
Education
- M.S. in science journalism, University of California, Santa Cruz
- Ph.D. in biomedical engineering, University of Michigan
- B.S. in bioengineering, Cornell University
Fellowships
- AAAS Mass Media Fellowship in 2022
Articles
- “Utah array characterization and histological analysis of a multi-year implant in non-human primate motor and sensory cortices” | Journal of Neural Engineering
- “Sharpened and mechanically durable carbon fiber electrode arrays for neural recording” | IEEE Transactions on Neural Systems and Rehabilitation Engineering
- “Multi-channel intraneural vagus nerve recordings with a novel high-density carbon fiber microelectrode array” | Scientific Reports
- “Ultra-small carbon fiber electrode recording site optimization and improved in vivo chronic recording yield” | Journal of Neural Engineering
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Large-scale neuroimaging datasets often lack information specific to women’s health, constraining AI’s analysis potential
Addressing this gap will require collecting widespread data on pregnancy, menopause and other life events women experience—and could bring us closer to the “holy grail” of linking brain and behavior.
Large-scale neuroimaging datasets often lack information specific to women’s health, constraining AI’s analysis potential
Addressing this gap will require collecting widespread data on pregnancy, menopause and other life events women experience—and could bring us closer to the “holy grail” of linking brain and behavior.