David Page
Instructor in the Department of Biostatistics & Bioinformatics

David Page works on algorithms for data mining and machine learning, and their applications to biomedical data, especially de-identified electronic health records and high-throughput genetic and other molecular data. Of particular interest are machine learning methods for complex multi-relational data (such as electronic health records or molecules as shown) and irregular temporal data, and methods that find causal relationships or produce human-interpretable output (such as the rules for molecular bioactivity shown in green to the side).

Current Appointments & Affiliations

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