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Jay Shendure

Lead Scientific Director, Seattle Hub for Synthetic Biology, Brotman Baty Institute University of Washington School of Medicine; HHMI

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Jay Shendure is an Investigator of the Howard Hughes Medical Institute, Professor of Genome Sciences at the University of Washington School of Medicine, Lead Scientific Director of the Allen Discovery Center for Cell Lineage Tracing, and Scientific Director of the Brotman Baty Institute for Precision Medicine. His 2005 doctoral thesis with George Church included one of the first successful reductions to practice of next generation DNA sequencing. Dr. Shendure’s research group in Seattle pioneered exome sequencing and its earliest applications to gene discovery for Mendelian disorders and autism; cell-free DNA diagnostics for cancer and reproductive medicine; massively parallel reporter assays, saturation genome editing; whole organism lineage tracing, and massively parallel molecular profiling of single cells. Dr. Shendure is the recipient of the Curt Stern Award from the American Society of Human Genetics (2012), the Richard Lounsbery Award from the National Academy of Sciences (2019) and the Mendel Award from the European Society of Human Genetics (2022) and is an elected member of the American Association for the Advancement of Science (AAAS) and the National Academy of Sciences (NAS). He serves or has previously served as an advisor to the NIH Director, the US Precision Medicine Initiative, the National Human Genome Research Institute, the Chan-Zuckerberg Initiative and the Allen Institutes for Cell Science and Immunology. He received his M.D. and Ph.D. degrees from Harvard Medical School in 2007.

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Karel Svoboda and Jay Shendure elected to National Academy of Medicine
The honor recognizes leaders who have demonstrated outstanding achievement and made lasting contributions to the advancement of the medical sciences,...
news
Seattle Hub for Synthetic Biology launched by Allen Institute, Chan Zuckerberg Initiative, and the University of Washington will turn cells into recording devices to unlock secrets of disease
First-of-its-kind research initiative will develop technologies to reveal how changes in cells and genes over time influence human health and...
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A computational challenge to help developmental biology
Q&A with the scientists and organizers behind a new competition to use machine learning to reconstruct an entire animal’s developmental lineage

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featured publications

publication / 2025
Multiplex generation and single-cell analysis of structural variants in mammalian genomes
Science
publication / 2024
Symbolic recording of signalling and cis-regulatory element activity to DNA
Nature
publication / 2024
Multiplex, single-cell CRISPRa screening for cell type specific regulatory elements
bioRxiv: The Preprint Server for Biology
publication / 2023
Spatial and temporal organization of the genome: Current state and future aims of the 4D nucleome project
Molecular Cell
publication / 2022
A hybrid open-top light-sheet microscope for versatile multi-scale imaging of cleared tissues
Nature Methods
publication / 2014
Disruptive CHD8 mutations define a subtype of autism early in development
Cell
publication / 2014
The complete genome sequence of a Neanderthal from the Altai Mountains
Nature
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