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-source software projects, some with 100K+ users. One of the main research goals of the Ideker Lab is to create artificially intelligent, mechanistic models of cancer for translation of patient data
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. Under general supervision, applies machine learning and deep learning, and mission-critical healthcare real-time artificial Intelligence software development. This involves in-depth evaluation of variable
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, bioinformatics, biomedical data modeling and ontologies, biomedical natural language processing and information retrieval, health artificial intelligence and machine learning, privacy technology, global health
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, biomedical data modeling and ontologies, biomedical natural language processing and information retrieval, health artificial intelligence and machine learning, privacy technology, global health informatics
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to apply. These methodologies include, but are not limited to, applying artificial intelligence approaches to large molecular, imaging, and/or clinical datasets to understand and transform brain health
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application of artificial intelligence (AI) data driven models for weather/climate modeling and prediction, and on developing insights for model interpretability. Develops novel post-processing methods