Kimberly Glasgow is Senior Staff at the Johns Hopkins University Applied Physics Laboratory (JHU/APL), where she has worked since 2009. Her work integrates computational social science, social media analytics and social network analysis. She is currently Principal Investigator for an effort analyzing adversarial influence in social media in the context of the 2016 U.S. elections, and previously led an effort exploring detection and characterization of actor, network and narrative changes in social media that may reveal growing social dissonance or unrest in communities. The approach for both of these initiatives used machine learning, Deep Learning, graph analytics, and visualization. She has authored or coauthored multiple articles along with a book chapter, and has given presentations at conferences on social media, social networks, and machine learning.
Senior Staff, Johns Hopkins Applied Physics Lab