Dr. Mikhail Dozmorov is an assistant professor in the Biostatistics Department, Virginia Commonwealth University. He received Master of Science in Physics and Chemistry from Moscow Institute of Electronic Technology (Technical University), Russia, and Ph.D. in Medical Biophysics from Gothenburg University, Sweden. He is interested in machine learning, statistical modeling, and genomics data mining, and focuses on developing statistical methods and bioinformatics tools for integrative analysis of large-scale datasets generated by sequencing technologies. He extensively works with data provided by the ENCODE and Roadmap Epigenomics projects, GTeX, The Cancer Genomics Atlas (TCGA), and develops methodologies that aid diagnostic, prognostic and treatment decisions. He had created a genome data interpretation and exploration system, GenomeRunner, which automates mining of large epigenomic datasets and allows identification of statistically significant associations of genomic regions with epigenomic data. He is interested in the three-dimensional structure of the human genome and develops biostatistics methods for the analysis of chromatin conformation capture data, such as Hi-C. His recent work includes "HiCcompare" and "multiHiCcompare" R packages for the joint normalization and comparative analysis of Hi-C datasets, and the "SpectralTAD" method for the detection of topologically associated domains using spectral clustering.