Dr. Mikhail Dozmorov is an associate professor in the Biostatistics department, Virginia Commonwealth University. He develops statistical methods and bioinformatics tools for the integrative analysis of genomics datasets. Through collaborations, Dr. Dozmorov analyses and interprets next-generation sequencing data, ranging from RNA-seq, ChIP-seq, DNA methylation to whole exome/genome sequencing datasets and single-cell sequencing. He extensively works with genomics databases, such as The Cancer Genomics Atlas (TCGA), CCLE, GTeX, ENCODE, etc., focusing on methodologies that aid diagnostic, prognostic, and treatment decisions. His latest work includes the development of biostatistical methods and software to analyze the three-dimensional structure of the genome. He is interested in developing machine/deep learning approaches for the analysis of genomics and medical informatics data
Dr. Mikhail Dozmorov is an associate professor in the Biostatistics department, Virginia Commonwealth University. He develops statistical methods and bioinformatics tools for the integrative analysis of genomics datasets. Through collaborations, Dr. Dozmorov analyses and interprets next-generation sequencing data, ranging from RNA-seq, ChIP-seq, DNA methylation to whole exome/genome sequencing datasets and single-cell sequencing. He extensively works with genomics databases, such as The Cancer Genomics Atlas (TCGA), CCLE, GTeX, ENCODE, etc., focusing on methodologies that aid diagnostic, prognostic, and treatment decisions. His latest work includes the development of biostatistical methods and software to analyze the three-dimensional structure of the genome. He is interested in developing machine/deep learning approaches for the analysis of genomics and medical informatics data