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Marden Lecture in Mathematics (ONLINE): Modeling to Mitigate the COVID-19 Pandemic
November 19, 2020 @ 4:00 pm - 5:00 pmFree
Dr. Lauren Ancel Meyers will discuss how data science, mathematics and computing are used to measure the speed and severity of the COVID-19 pandemic, forecast COVID-19 deaths across the US, and provide guidance to various constituencies involved in making public health policy.
Lauren Ancel Meyers is a Milwaukee native and graduate of Nicolet High School. She is a mathematical biologist with degrees from Harvard (BA, Math and Philosophy) and Stanford (PhD Biology), and completed a post-doctoral fellowship at the National Science Foundation. She is a professor in the Department of Integrative Biology, professor and founder of the Department of Statistics & Data Science, and director of the COVID-19 Modeling Consortium at the University of Texas-Austin.
Professor Meyers is a renowned pioneer in network epidemiology and the use of machine learning in epidemic and pandemic detection, forecasting, and control. She directs a team of interdisciplinary scientists, engineers, and public health experts who have built tools for the Centers for Disease Control and other health agencies to fight influenza, Ebola, HIV, the Zika virus – and now COVID 19. She has published more than 100 peer-reviewed research articles and has appeared in The Wall Street Journal, The New York Times, The Washington Post, and on National Public Radio, CNN and the BBC, to name a few. Named one of the top 100 global innovators under age 35 by the MIT Technology Review in 2004, she also received the Joseph Lieberman Award for Significant Contributions to Science in 2017 given by the Center for Excellence in Education.
Join the lecture at: https://uwm-edu.zoom.us/j/88074077145?pwd=NmFpRlVPTlRBQ3NrWkJiSUlhZXA5QT09