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Natalie Stanley, PhD

Dr. Stanley arrived at UNC from Professor Nima Aghaeepour’s computational immunology laboratory at Stanford University. Her current research is focused on developing bioinformatics and machine learning algorithms for gaining a systems-level understanding of human immunity from single-cell mass cytometry data. Her recently developed algorithms have been applied to understand the immune system in a variety of clinical applications, including human pregnancy and surgical recovery. Prior to joining Stanford, Natalie finished her Ph.D. at the University of North Carolina at Chapel Hill, working with Prof. Peter Mucha. During her time as a Ph.D. student, Natalie’s research focused on developing algorithms for the analysis of networks. In particular, her work focused on community detection, or graph-based clustering, and developing probabilistic models for networks.


Natalie Stanley