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Alexis Battle is a professor in the Department of Biomedical Engineering and the Department of Computer Science at Johns Hopkins University. She is the director of the Malone Center for Engineering in Healthcare and serves as the deputy director of the Data Science and Artificial Intelligence Institute. Her research focuses on the application of machine learning and statistical methods to genomic data to better understand the human genome's functions. Specifically, her work aims to uncover the impact of genetic variation on traits and cellular processes related to diseases through computational biology and machine learning strategies. Dr. Battle is particularly involved in predicting the molecular effects of variants in noncoding DNA sequences, modeling the impact of these variants on gene regulation, and aggregating effects related to disease risk. Additionally, she is developing novel methods in personal genomics to analyze rare genetic variants. Her pioneering research significantly contributes to our understanding of gene regulation, disease mechanisms, and the clinical applications of genomics.
Department of Pathology - PhD in Pathobiology. GRE is not required.