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Rita Cantor is a statistical geneticist with extensive experience in developing and applying analytical approaches to identify genes that predispose individuals to genetically complex disorders such as autism, schizophrenia, and coronary artery disease. With a solid educational background in mathematics, statistics, and human genetics, she has dedicated the past 35 years to conducting research focused on the development of statistical methods for gene identification. Her work emphasizes the importance of understanding risk genes and the genetic architecture of traits, particularly through the study of quantitative trait loci (QTL). Cantor's expertise and experience in statistical genetics are critical to gene-finding endeavors, allowing for the development of therapies based on the identification of risk genes. She has a deep understanding of the complicated statistical analyses required in this field, solidifying her role as a leader in statistical genetics.
Department of Economics admits primarily for the PhD program.