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David Haussler

David Haussler

American geneticist
David Haussler is an American bioinformatician known for his work leading the team that assembled the first human genome sequence in the race to complete the Human Genome Project and subsequently for comparative genome analysis that deepens... Wikipedia
Place of birth: United States
Notable students: Jim Kent, Adam C. Siepel, Jian Ma, and more
Academic advisor: Andrzej Ehrenfeucht
Affiliation: University of California, Santa Cruz
Research interests: Genomics, Computer Science, Molecular Biology, and more

Currently, his experimental research focuses on the molecular evolution of DNA, RNA, and protein sequences with a special emphasis on neurodevelopment. His lab ...
David Haussler. Scientific Director, UC Santa Cruz Genomics Institute, University of California, Santa Cruz. Verified email at soe.ucsc.edu.
David Haussler (born 1953) is an American bioinformatician known for his work leading the team that assembled the first human genome sequence in the race to ...
Research Interests. Bioinformatics; Genomics; Computational genomic data analysis; Molecular evolution and comparative genomics; Genomic and clinical data ...
People also ask
Precision Genomics. Sofie Salama / David Haussler ; Neurodevelopment ; Braingeneers. We can see neurons firing in the cerebral cortex tissue patches in our lab ...
Prof. David Haussler is a Distinguished Professor of Biomolecular Engineering at the University of California, Santa Cruz, and Scientific Director of the UC ...
Distinguished Professor, Department of Biomolecular Engineering and Scientific Director, UC Santa Cruz Genomics Institute, University of California, Santa Cruz
David Haussler, PhD · Thalamocortical organoids enable in vitro modeling of 22q11. · Model-Agnostic Neural Mean Field With The Refractory SoftPlus Transfer ...
David Haussler is an American bioinformatician known for his work leading the team that assembled the first human genome sequence in the race to complete ...
Dr. Haussler has made key advances in applying computational methods to understand genome function and evolution.