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Carl Kingsford is the Herbert Simon Professor in the Department of Computer Science at Carnegie Mellon University. His research focuses on developing algorithms to extract insights from biological data, particularly large collections of genomic and gene expression sequencing data. He is particularly interested in methods for detecting large-scale mutations, such as structural variants, which are common in various types of cancers, and in developing techniques to estimate changes in gene expression in cancer tumors. His contributions include the development of innovative software tools, including SQUID, which identifies structural variants in tumors using gene expression data, and the SALMON software, widely used for quantifying gene expression levels in cancer analyses. He has also developed computational methods to study how the three-dimensional structure of the genome changes in the context of cancer.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.