Miles Efron received his Ph.D. in Information and Library Science from the University of North Carolina at Chapel Hill in 2003. His teaching and research focus on information retrieval. Specifically, he is concerned with empirical, statistical approaches to providing access to large bodies of textual data. From 2004 until 2009 Miles Efron was an assistant professor in the School of Information at the University of Texas at Austin. Since fall 2009 he has served on the faculty of the Graduate School of Library and Information Science at the University of Illinois, Urbana-Champaign, as an assistant professor. My work focuses on information retrieval. I am especially interested in statistical methods for learning from large bodies of text. Most of my research focuses on model selection problems in IR. Results from many applied statistical areas give us ways to negotiate the complexity and multiplicity of models that face us during retrieval. In the past I brought multi-model inference to dimensionality reduction problems in IR. More recently I have worked with time series models to improve term weighting. My time series work also speaks to my ongoing interest in diachronic issues in analyzying text (i.e. capitalizing on language change over time). On a more applied level, I am also working with IR problems that arise in social media applications such as microblogging.