Throughout his career, Donald Geman, ICM core faculty member and professor in the Department of Applied Mathematics and Statistics, has developed statistical methods for a variety of research applications. Geman’s most recent research published in the journal Proceedings of the National Academy of Sciences focuses on engineering an algorithm that may assist in differentiating between certain […]

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Mathematicians and cancer scientists have found a way to simplify complex biomolecular data about tumors, in principle making it easier to prescribe the appropriate treatment for a specific patient. The digital approach from scientists at the Johns Hopkins University—a computational strategy transforms highly complex information into a simplified format that emphasizes patient-to-patient variation in the […]

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