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to research on language and speech development across different populations and contexts, including children acquiring language in different cultural settings outside of the United States to children with
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. This work involves developing novel techniques, algorithms, and software packages that enable more robust and scalable approaches to cybersecurity using AI-based techniques. In addition to technical
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systems. Includes establishing medical reasoning benchmarks and automated / scalable evaluation methods. Developing recommender algorithms to predict specialty care with large-language model based user
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Itai Ashlagi and the Stanford Impact Lab on Equitable Access to Education are seeking a diverse pool of applicants who wish to join a team-based, collaborative community and who value the different