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Mihaela Pertea is an Associate Professor in the Department of Biomedical Engineering at Johns Hopkins University. She is also affiliated with the departments of Genetic Medicine and Computer Science. Her research focuses on innovative methods for analyzing large DNA and RNA sequence data sets, leading to a genome-scale understanding of cellular functions. Mihaela integrates machine learning techniques with statistical methods to identify segments of genomic DNA with biological functions, including protein-coding genes and noncoding RNA genes. Her ongoing work aims to enhance gene annotation and maintain comprehensive gene catalogues, a critical task given the increasing reliance on accurate gene descriptions in genetic studies. Recent highlights of her research include developing software tools to improve the transfer of genome annotations and receiving honors for her contributions to medicine and engineering education.
Department of Pathology - PhD in Pathobiology. GRE is not required.