
Researcher
Homa Hosseinmardi
Associate Research Scientist
Homa Hosseinmardi is a visting scholar and lead of the Penn Media Accountability Project (PennMAP). She is also an assistant professor at UCLA.
Homa researches the intersection of computational social science, statistical inference, and applied machine learning. She is motivated by how advances in sensing technology and the availability of large-scale data, coupled with computational methods, can help to answer fundamental questions from individual well-being and affect to political polarization and media echo chambers. Her research agenda makes extensive use of applied machine learning; applied statistics; social, behavioral, and political science; and human-centered approaches.
Home received her PhD in Computer Science from the University of Colorado Boulder and worked in Danaher Labs in 2015-2017 as a Data Scientist. Before joining the CSSLab, she was a postdoctoral research associate at the Information Sciences Institute, where she worked with Emilio Ferara. Homa also contributes as an external researcher at the CU CyberSafety Research Center.
Publications +
Discovering hidden structure in high dimensional human behavioral data via tensor factorization Journal Article
In: pp. 5, 2019.
Understanding Cyberbullying on Instagram and Ask.fm via Social Role Detection Journal Article
In: Companion Proceedings of The 2019 World Wide Web Conference, pp. 183-188, 2019.
Evaluating overfit and underfit in models of network community structure Journal Article
In: IEEE Transactions on Knowledge and Data Engineering, vol. 32, no. 9, pp. 1722-1735, 2019.