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accounting for individual variability: aligning with the philosophy of data-driven precision medicine. However, for responsible and robust applications, the process of learning and classifying diabetes
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multi-omics data. This goal will help us understand, and potentially treat, diabetes progression accounting for individual variability: aligning with the philosophy of data-driven precision medicine
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accounting for individual variability: aligning with the philosophy of data-driven precision medicine. However, for responsible and robust applications, the process of learning and classifying diabetes
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about social networks, and networks of text and people. Our research is highly interdisciplinary, combining work on formal logic from computer and information science, mathematics and philosophy with
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logic from computer and information science, mathematics and philosophy with models and concepts from the social sciences such as game theory, social choice theory, social network analysis and formal
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science, mathematics and philosophy with models and concepts from the social sciences such as game theory, social choice theory, social network analysis and formal ethics, applied to problems in artificial intelligence