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Our group develops and applies computational approaches to biomedical problems across multiple scales. At the molecular level, we are particularly interested in better understanding the “wiring” of biological systems and the discovery of underlying principles in biological organization. Utilizing data-driven and network approaches, we link cellular signaling with therapeutic response to enable rational drug design and other precision medicine approaches. At a more macro scale, we are working to translate machine learning and artificial intelligence approaches to solve practical, real-world problems in the clinic, augmenting clinical practice and downstream decision making. Together, all of our work is concentrated on development of more effective means of diagnosis and therapeutic intervention that improve patient outcomes.
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