Experience
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Education
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Bio
Research Interests
My research is in machine learning/data mining and natural language processing with an emphasis
on applications in health informatics. I am particularly interested in using machine learning to mine,
organize and filter clinical/biomedical texts, especially in the context of evidence-based medicine.
There are too few experts to make sense of the torrents of published clinical data. I am interested in
mitigating this problem by developing novel learning algorithms to induce models that semi-automate
the clinical evidence synthesis process, thereby reducing workload. More broadly, I am interested
in core machine learning issues: e.g., structured and unstructured classification techniques; semisupervised
learning methods; learning with imbalanced data; and learning from alternative forms of
supervision. I am also broadly interested in computational methods for evidence-synthesis.