Lauren Ancel Meyers, the Cooley Centennial Professor of Integrative Biology and Statistics and Data Sciences at The University of Texas at Austin, will give a talk on networks and health on February 19 at 3:30 p.m. The event is free and open to the public.
Meyers is a member of the Santa Fe Institute External Faculty. She was trained as a mathematical biologist at Harvard and Stanford Universities and has been a pioneer in the field of network epidemiology and the application of machine learning to improve outbreak detection, forecasting and control.
Meyers leads an interdisciplinary team of scientists, engineers, and public health experts in uncovering the social and biological drivers of epidemics and building practical tools for the Centers for Disease Control and Prevention (CDC) and other global health agencies to track and mitigate emerging viral threats, including COVID-19, pandemic influenza, Ebola, HIV, and Zika. Her research has been published in over 100 peer-reviewed articles in major journals and covered by The Wall Street Journal, New York Times, Washington Post, NPR, CNN, the BBC, and more.
Professor Meyers was named as one of the top 100 global innovators under age 35 by the MIT Technology Review in 2004 and received the Joseph Lieberman Award for Significant Contributions to Science in 2017.
The talk is sponsored by the Worlds of Connections SEPA, the Rural Drug Addiction Research (RDAR) Center, and the Department of Sociology.