Research
We seek to understand the quantitative control of gene expression in development and the resulting “tipping points” in disease, knowledge that can lead to more precise, controlled therapies for a range of rare and common disorders.
To achieve these goals, we combine functional genomics and computational modeling using stem cell-derived in vitro models of development. A common theme across projects is the use of highly quantitative tools and approaches: “analog genomics”.
Team
Key publications
Transfer learning reveals sequence determinants of the quantitative response to transcription factor dosage
bioRxiv
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29 May 2024
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doi:10.1101/2024.05.28.596078
Precise modulation of transcription factor levels identifies features underlying dosage sensitivity
Nature Genetics
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06 Apr 2023
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doi:10.1038/s41588-023-01366-2
Shared heritability of human face and brain shape
Nature Genetics
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05 Apr 2021
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doi:10.1038/s41588-021-00827-w
GWAS of three molecular traits highlights core genes and pathways alongside a highly polygenic background
eLife
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15 Feb 2021
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doi:10.7554/eLife.58615
Conservation, acquisition, and functional impact of sex-biased gene expression in mammals
Science
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19 Jul 2019
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doi:10.1126/science.aaw7317
Affiliations
