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Abigail Horn has led transformative projects in the realm of public health, leveraging her expertise as a Research Assistant Professor in the Daniel J. Epstein Department of Industrial and Systems Engineering at the University of Southern California. Her research is at the intersection of systems modeling and public health, with a particular focus on food systems, nutrition, and infectious disease modeling. Abigail's work is characterized by the innovative use of network science and computational social science to address complex health challenges. In her pursuit of advancing public health, Abigail integrates large-scale data sources with sophisticated modeling techniques. Her approach is not only analytical but also deeply rooted in practical applications, aiming to design effective solutions that can be implemented in real-world scenarios. This has positioned her as a key figure in the development of strategies to combat public health issues, particularly those related to nutrition and infectious diseases. Abigail's research interests extend to the broader implications of data science and network science in understanding and improving public health systems. Her work often involves collaboration with interdisciplinary teams, reflecting her belief in the power of diverse perspectives to drive innovation. Through her research, she seeks to contribute to a more resilient and responsive public health infrastructure. Her contributions to the field have been recognized through various academic and professional platforms, where she frequently shares her findings and insights. Abigail Horn continues to push the boundaries of traditional public health research, striving to make a tangible impact on society through her dedication to improving health outcomes and systems.

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