Bioinformatics

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The nominee has extensive experience developing novel pattern recognition and machine learning software that has been shown to outperform mainstream methods in the diagnosis of breast cancer and in predicting tissue outcome after stroke. The nominee proposes to engage in research towards improving this work and towards evaluating its potential in a wide variety of medical imaging applications, such as neurodevelopmental imaging. The nominee will maintain a secondary affiliation with Harvard Medical School to provide ongoing access to high-quality clinical imaging data and to facilitate collaborations with physicians and neuroscientists.