Mahlet Tadesse received her doctorate in Biostatistics from Harvard University. Prior to joining the Department of Mathematics at Georgetown University, she served on the faculty at the University of Pennsylvania as Assistant Professor of Biostatistics.

Her research focuses on the development of statistical and computational tools for the analysis of large-scale genomic data. She is particularly interested in stochastic search methods and Bayesian inferential strategies to identify structures and relationships in high-dimensional data sets. Some research problems she is currently working on include: (1) identification of biologically relevant markers and prediction of clinical outcomes in a unified manner, (2) detection of copy number variations using genome-wide SNP arrays, (3) integration of various genomic data sources, (4) integration of biological knowledge in the evaluation of genomic data.