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| Name |
Barber, Rina F. |
| Location
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The University of Chicago |
| Primary Field
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Applied Mathematical Sciences |
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 Research Interests
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Rina's research focuses on the theoretical foundations of statistical problems in estimation, prediction, and inference. Her interests lie in modern settings where classical methods may not be reliable due to high dimensionality, failure of model assumptions, or other challenges. Her recent work focuses on distribution-free inference methods such as conformal prediction, and on developing hardness results to establish what types of inference questions can or cannot be solved with distribution-free methods. Her research has also focused on studying and developing multiple testing methods, including the knockoff filter for variable selection with false discovery rate control, and on questions in selective inference. She also collaborates with researchers in medical imaging on developing algorithms for image reconstruction. |
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