Laura Luebbert
Post-doctoral Fellow
Laura is a computational biologist specializing in machine learning methods for infectious disease discovery and triage. During her PhD at Caltech, Laura developed gget, a widely adopted open-source toolkit for genomic and proteomic analysis, and created algorithms to discover hidden viral sequences in RNA sequencing data. Her main interests are in understanding the role of viruses in human health and disease, as well as building machine learning models to assist high-stakes clinical triage in West Africa.
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