معرفی
Matthew N. McCall is an Associate Professor of Biostatistics and Computational Biology at the University of Rochester, with a secondary appointment in Biomedical Genetics and affiliation with the Goergen Institute for Data Science. He directs the Statistics PhD program and co-leads the Wilmot Cancer Institute's Biostatistics and Bioinformatics Shared Resource. His research focuses on statistical genomics, bioinformatics, and biomedical data science, with an emphasis on developing methods for analyzing miRNA-seq data, gene regulatory networks from Perturb-seq, cellular composition effects on gene expression, and microglia imaging.
Education: PhD in Biostatistics (Johns Hopkins University, 2010), MH.S. in Bioinformatics (Johns Hopkins, 2010), B.S. in Statistics (University of Michigan, 2004).
Research interests include systems biology, cancer genomics, and statistical methodologies for high-throughput data. Key contributions span microRNA profiling, qPCR data analysis, and computational tools for genomic studies. He leads collaborative projects on respiratory virus severity and tumor biology, with funding from NIH and other agencies.
Awards and recognitions include tenure at the University of Rochester. His work has been published in NAR Genomics and Bioinformatics, PLoS Computational Biology, Cell Reports, and others. He advises students in biostatistics and computational biology, and oversees grants related to environmental health and cancer research.
