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Christina Kendziorski is a mathematical scientist with expertise in biostatistics and medical informatics. Her research has focused on questions that arise in genomics, particularly those related to the development of complex diseases such as diabetes. For the past twenty years, she has led a research group that has developed statistical methods and software aimed at addressing design and analysis questions in bulk and single-cell, as well as spatial RNA-sequencing experiments. Her work includes expression quantitative trait loci (eQTL) mapping, network reconstruction, and advancing personalized genomic medicine. In addition to her statistical methodology expertise, Kendziorski maintains active collaborations with biologists and clinicians, which ensures that the methods developed by her group not only meet the analytical demands but also address relevant biological questions and are disseminated in a manner that is accessible to non-statisticians.
Department: Department of Computer Sciences