Current Research
Computational Genomics Approaches to Studying Evolution and Disease

David Haussler develops innovative methods in computational genomics to accelerate our understanding of molecular function, evolution, and disease process. Working at the interface of mathematics, computer science, and molecular biology, Haussler and his team integrate cross-species comparative and high-throughput genomics data to study gene structure, mechanism, and regulation. They also collaborate with researchers across the country to discover molecular causes of neurodevelopmental diseases and cancer. Haussler is empowering biomedical researchers to generate, access, and share genomic data, ensuring that they can quickly test new ideas and build on discoveries from other labs.

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