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Hyungwon Choi develops computational methods and methods in statistics for high-dimensional molecular data. His research includes integrating measurements from proteomics and metabolomics, extracting signals from mass spectrometry, and estimating regularized regression and graphical models. These problems connect a physical measurement instrument to statistical inference: many measured signals must be compared while accounting for noise and dependence. The National University of Singapore profile identifies this biomedical and computational research focus.^[ref]