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Sunduz Keles is a Professor in the Department of Statistics and the Department of Biostatistics and Medical Informatics at the University of Wisconsin–Madison. Her research areas include biostatistics, statistical genomics, and computational biology, with a focus on censored data analysis. She has contributed significantly to the development of statistical methods and models that address complex challenges in biological data analysis, particularly in genomics. Keles's work often utilizes innovative statistical techniques to enhance the understanding of genetic architectures and their implications in health and disease. She is recognized for her expertise in developing methodologies that bridge the fields of statistics and biology, which have widespread applications in medical research and public health. Throughout her career, she has published extensively in leading statistical and scientific journals, showcasing her commitment to advancing the field of biostatistics and contributing to interdisciplinary collaborations.
Department: Department of Computer Sciences