Seth Grant.

Seth Grant

Professor of molecular neuroscience
Edinburgh University

Seth Grant is professor of molecular neuroscience at Edinburgh University. His lab studies synapse diversity in the brain using synaptome mapping, a combined laboratory and computational approach that reports proteomics at single-synapse resolution and on the whole-brain scale. Synaptome mapping is uncovering how brain synapse diversity and architecture change during development and aging, are modulated by sensory input and lived experience, and are affected by genetic disorders such as dementia, Alzheimer’s disease and schizophrenia. These studies are providing clues to understanding of the role of the synaptome in learning, memory and behavior.

After graduating from Sydney University with bachelor’s degrees in science, medicine and surgery, Grant studied transgenic mouse models of cancer and diabetes with Douglas Hanahan at Cold Spring Harbor Laboratory. He also studied mouse genetic models of learning and memory with Eric Kandel at the Howard Hughes Medical Institute and Columbia University. He established his first laboratory at Edinburgh University in 1994 and in 2000 was appointed professor of molecular neuroscience. 

Grant has held additional appointments, including John Cade Visiting Professor at Melbourne University, principal investigator at the Wellcome Trust Sanger Institute, and honorary professorship at Cambridge University. He was elected fellow of the Royal Society of Edinburgh in 2011 and fellow of the Academy of Medical Sciences in 2015.

From this contributor

Explore more from The Transmitter

Two lab mice fighting.

From friend to foe: How the brain updates feelings toward others

A specific hippocampus-to-amygdala pathway reassigns emotional valence to a known individual, whereas the hippocampus’s own representation of that individual’s identity remains stable.

By Natalia Mesa
9 July 2026 | 5 min read
Illustration of scientist in lab coat looking at shelves of computer network models.

Mass-produced science is coming. What happens to scientists?

Artificial intelligence may soon enable researchers to generate high-quality science at a previously unimaginable speed. For science consumers—the public, medical patients, technology users—the likely effects will be positive. For scientists, the effects will be as disruptive as industrial mass production was for artisan manufacturers.

By Kenneth Harris
9 July 2026 | 9 min read
Adriano Aguzzi.

Neuropathologist not guilty of research misconduct, says university probe

The investigation determined that seven papers by corresponding author Adriano Aguzzi have “scientifically significant” errors, which Aguzzi attributes to his former students.

By Dalmeet Singh Chawla
8 July 2026 | 5 min read