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Michael Kunst

Scientist, Sr.

teams /
Allenite

Michael Kunst received his PhD in Neuroscience from the University of Göttingen, Germany, he has dedicated his career to studying neural circuits across various model organisms, including grasshoppers, Drosophila, and zebrafish. Following his doctoral studies, Michael went on to complete postdoctoral fellowships at both the Yale School of Medicine and the Max-Planck Institute for Neurobiology. Here, he deepened his expertise in understanding the intricate structure and composition of neural circuits.

research focus

At the Allen he is working in the Imaging Department, where he is leading efforts in processing and analyzing spatial transcriptomics data. With a keen interest in understanding the global architecture of the brain, he is actively involved in ongoing work at the Allen Institute, contributing to the characterization of both the adult and developing mouse brain.

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news
Scientists complete first drafts of developing mammalian brain cell atlases
New research reveals how early brains form and the critical periods that could help diagnose and treat brain disease.

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featured publications

publication / 2025
Data-driven fine-grained region discovery in the mouse brain with transformers
Nature Communications
publication / 2024
Integrated multimodal cell atlas of Alzheimer's disease
Nature Neuroscience
publication / 2024
Cross-modality mapping using image varifolds to align tissue-scale atlases to molecular-scale measures with application to 2D brain sections
Nature Communications
publication / 2023
A high-resolution transcriptomic and spatial atlas of cell types in the whole mouse brain
Nature
publication / 2023
A transcriptomic taxonomy of mouse brain-wide spinal projecting neurons
Nature
publication / 2023
Signature morphoelectric properties of diverse GABAergic interneurons in the human neocortex
Science (New York, N.Y.)
publication / 2023
Transcriptomic cytoarchitecture reveals principles of human neocortex organization
Science (New York, N.Y.)
publication / 2023
Morphoelectric and transcriptomic divergence of the layer 1 interneuron repertoire in human versus mouse neocortex
Science (New York, N.Y.)
publication / 2023
Neural assemblies uncovered by generative modeling explain whole-brain activity statistics and reflect structural connectivity
eLife
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