CMU's Ryan Tibshirani and Jing Lei win NSF CAREER Awards (IMAGE)
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The National Science Foundation has awarded Carnegie Mellon University's Jing Lei (r) and Ryan Tibshirani Faculty Early Career Development (CAREER) awards. Lei and Tibshirani, both assistant professors in the Dietrich College of Humanities and Social Sciences' Department of Statistics, each received five-year, $400,000 grants. The explosion of big data also has led to an onslaught of theories and methods to analyze massive amounts of data. Lei's project will analyze when certain methods work and when they do not - and will determine why. He will then use that understanding to create reliable statistical methods that are widely applicable across fields such as astronomy, medical screening, genetics, psychiatry and brain sciences. Tibshirani develops mathematical models that work to understand simple patterns or structures that may be present in complicated data sets. With these models, he can leverage patterns and structures to predict unseen values of data. He will use the award to develop better mathematical models and software to more effectively forecast seasonal epidemics like influenza and dengue fever to help policymakers design and implement countermeasures.
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Carnegie Mellon University
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