Natalie Stanley

Natalie Stanley is an Assistant Professor at the University of North Carolina at Chapel Hill, specializing in developing scalable and generalizable methods for community detection and clustering in complex networks. She earned her PhD in Bioinformatics and Computational Biology from the same institution under Dr. Peter Mucha.

• Education: PhD in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill

Her research focuses on probabilistic modeling and machine learning approaches for analyzing large, multi-scale, and attributed network data across diverse domains. Key applications include neuroscience, microbiome analysis, genomics, and social network analysis. Natalie also enjoys running (trail, road, track), yoga, hiking, bouldering, and volunteering with rescue dogs.