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research that advances computational methods, including the use of artificial intelligence and machine learning for discovery in applied mathematics and scientific computing. Research motivated by
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, the Center for Neurocognition and Behavior, and the Center for Neurocomputation and Machine Intelligence. WTI enables interdisciplinary inquiry through fellowships for co-mentored postdocs, grad
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treatment. We apply integrated machine-learning methods combined with genome engineering technology to better understand cancer, and to identify novel therapies to improve treatment in patients. Overview of
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timely and professional deliverables Experience with causal inference, machine learning, and artificial intelligence is desirable Experience with clinical, EHR, or biobank data analyses is desirable
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recognize that artificial intelligence and machine learning are changing all aspects of neuroscience from analysis of neural activity to network modeling to imaging to bioinformatics to molecular modeling
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integrative single-cell and spatial transcriptomic profiling of clinical specimens. These analyses, coupled with advanced machine learning, allow us to construct detailed cellular atlases of prostate
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Plasticity, the Center for Neurocognition and Behavior, and the Center for Neurocomputation and Machine Intelligence. WTI enables interdisciplinary inquiry through fellowships for co-mentored postdocs
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Neurocognition and Behavior, and the Center for Neurocomputation and Machine Intelligence. WTI enables interdisciplinary inquiry through fellowships for co-mentored postdocs, grad students, and undergrads