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Lauren Ancel Meyers is a professor at the University of Texas at Austin, where she serves as the director of the Center for Pandemic Decision Science. Trained as a mathematical biologist at Harvard and Stanford, her research focuses on network epidemiology, optimization of infectious disease surveillance and control, and the development of translational tools for public health applications. She has trained numerous graduate students and postdoctoral researchers, many of whom have gone on to have successful careers in academia and industry. Her interdisciplinary team includes scientists, engineers, social scientists, and public health professionals working to uncover the sociological and biological drivers of disease transmission and improve disease control policies. Notably, she has contributed to efforts in redesigning disease surveillance systems using next-generation data and developing decision-support software for organizations like the Centers for Disease Control and Prevention. Her work is widely recognized in media outlets such as the Wall Street Journal and BBC, and she has been involved with various governmental agencies, emphasizing her expertise in infectious diseases and public health. In 2004, she was named one of the top 100 global innovators by MIT Technology Review, highlighting her significant contributions to the field.
University of Texas at Austin • Austin, TX
Professor in the Department of Integrative Biology, conducting research and teaching.
General requirements for the Graduate School at UT Austin apply to all programs unless otherwise specified.