I am currently a Visiting Scholar in the Department of Biomedical Data Science at Stanford. I was previously a postdoctoral researcher in the Department of Computer Science advised by Chris RĂ©... My research focuses on developing weakly supervised machine learning systems to support applications in areas such as medicine, energy and environment, and intelligence analysis wherein the costs of failure are high and labeled data is scarce... By modeling noisy, programmatic sources of supervision applied to unlabeled data, directly integrating human domain knowledge, and leveraging related tasks, my work aims to enable reliable application of state-of-the-art machine learning models to these problems with the speed, scale, and performance levels required for practical deployment.
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