Over the last two years Lauren Ancel Meyers has become a household name across the United States.
Her expertise in viral disease outbreak detection, forecasting, and control thrust her into the limelight as the world tried to make sense of how COVID-19 was spreading (and continues to spread).
A professor with appointments at the Departments of Integrative Biology, Statistics & Data Sciences and Population Health at The University of Texas at Austin, Meyers is also an affiliate faculty member at the Oden Institute. Her research has long been at the forefront of computational epidemiology and has never been more vital than during the COVID-19 pandemic as she and her team raced to help the globe forecast and control the transmission of the virus. Meyers recently moved her research team to the sixth floor of the Peter O’Donnell Building (POB). “As our team outgrew its space, we felt that the Oden Institute would be a perfect home, both physically and intellectually,” she said. “Our work is intensely computational and highly interdisciplinary, very much in the spirit of the Oden Institute.”
Meyers draws on tools from mathematics, physics, statistics and engineering as well as the vast computing resources at TACC to build models that help us understand the emergence and spread of outbreaks and design effective strategies for stopping them. Her interdisciplinary research team includes scientists, social scientists, clinicians, engineers, and public health professionals with expertise spanning major human pathogen threats, including Influenza, Ebola, HIV, Zika and COVID-19.
Leading up to the COVID-19 pandemic, Meyers spent two decades developing innovative models and building collaborative bridges to public health organizations, including the WHO, CDC, and Texas Department of State Services. Her lab was uniquely poised to tackle the challenges of COVID-19 in the early days of the pandemic.
“We rapidly built models that captured our ever-changing understanding of the COVID-19 virus and the complex interplay between viral spread and human behavior,” Meyers said. “Our models have been anything but static. We have worked around the clock to build, validate and apply innovative models that incorporate our latest understanding of the virus itself, the efficacy and availability of drugs and vaccines, and the often unpredictable dynamics of public policies and individual behavior.”