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Hae Kyung Im is an Associate Professor at the University of Chicago in the Biological Sciences Division, specifically focusing on Human Genetics. She specializes in developing quantitative computational methods to analyze extensive genomic datasets, aiming to uncover insights that can be translated into improved human health outcomes. Her research interests include Genome Mapping, Genome-Wide Association Studies, Statistical Models, and Transcriptome Analyses. Dr. Im has made significant contributions to the field, including the development of scPrediXcan, a framework that integrates deep learning methods for analyzing single-cell data in transcriptome-wide association studies. She has published multiple articles in reputable journals, showcasing her research findings in areas related to complex traits and their genetic underpinnings. Hae Kyung Im received her PhD in Statistics from the University of Chicago in 2005. Her work on transcriptomic profiling and integrative analyses of omics data is setting new standards for understanding complex traits in both human and animal models. Overall, Dr. Im's academic journey and research contributions have established her as a leading expert in her field.
Department of Philosophy