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Dr. Ly Dinh is a computational social science researcher studying how research methods such as network analysis, social simulation models, and text analysis, can be used to advance our understanding of various social and organizational systems. Dr. Dinh's current projects place network science at the core to understand and explain a number of social and organizational phenomena ranging from egocentric networks to interagency emergency response networks. She also develops and tests new measures to capture the complexities of social interactions that can be observed at multiple levels of the network (ego, dyad, triad, subgroup, whole network). Dr. Dinh's research has appeared in Scientific Reports, Computational Communication Research, and peer-reviewed outlets in computational social science and crisis informatics. Dr. Dinh is a recipient of the 2020 Grace Hopper Scholar for Women in Computing, and a 2018 Network Science Fellow at Visible Networks Labs.