Ph.D. 2018, UNC-Chapel Hill. Single-cell bioinformatics; computational and systems immunology; developing algorithms for representing and understanding graph-based data.
Natalie Stanley is an Assistant Professor in the Department of Computer Science and Computational Medicine Program at the University of North Carolina at Chapel Hill. Her research is broadly focused on single-cell bioinformatics, computational and systems immunology, and developing algorithms for representing and understanding graph-based data. As a postdoc, she particularly focused on how to relate single-cell mass cytometry data to external variables of interest (such as clinical outcome). This is a challenging problem, given the heterogenity and diverse amount of information contained across the hundreds of millions of cells collected in an individual single-cell experiment.
She completed training as a postdoc in computational and systems immunology at Stanford with Nima Aghaeepour from 2018 to 2020. Prior to joining Stanford, she finished a doctorate in 2018 with Peter Mucha, where her research focused on graph partitioning.