Lauren Ancel Meyers - Bryant McGill

# Lauren Ancel Meyers <iframe width="100%" height="20" scrolling="no" frameborder="no" allow="autoplay; encrypted-media" src="https://w.soundcloud.com/player/?url=https%3A//api.soundcloud.com/tracks/soundcloud%253Atracks%253A2406560292&color=%23ff5500&inverse=false&auto_play=false&show_user=true"></iframe><div style="font-size: 10px; color: #cccccc;line-break: anywhere;word-break: normal;overflow: hidden;white-space: nowrap;text-overflow: ellipsis; font-family: Interstate,Lucida Grande,Lucida Sans Unicode,Lucida Sans,Garuda,Verdana,Tahoma,sans-serif;font-weight: 100;"><a href="https://soundcloud.com/bryantmcgill" title="Bryant McGill" target="_blank" style="color: #cccccc; text-decoration: none;">Bryant McGill</a> · <a href="https://soundcloud.com/bryantmcgill/cve-computational-epidemiology" title="CVE: Computational Epidemiology and Pandemic Decision Science" target="_blank" style="color: #cccccc; text-decoration: none;">CVE: Computational Epidemiology and Pandemic Decision Science</a></div> **Entity class:** Person **Domain:** Austin Research / People **Doc Type:** Research entity **Source basis:** Supplied research cluster with linked references; see the [[wiki/Austin Research Evidence Map|evidence map]] for verification scope. **Lauren Ancel Meyers** is a mathematical biologist and network epidemiologist at [[wiki/University of Texas at Austin|The University of Texas at Austin]]. As of 2026, she is a professor in the [[wiki/Department of Integrative Biology at the University of Texas at Austin|Department of Integrative Biology]], directs the [[wiki/epiENGAGE Center for Forecasting and Outbreak Analytics|epiENGAGE Center for Forecasting and Outbreak Analytics]] and the [[wiki/Center for Pandemic Decision Science|Center for Pandemic Decision Science]], and holds a courtesy professorship in the [[wiki/Department of Population Health at Dell Medical School|Department of Population Health]] at [[wiki/Dell Medical School|Dell Medical School]]. She is also affiliated with the [[wiki/Oden Institute|Oden Institute]]. She leads [[wiki/Meyers Lab|Meyers Lab]], which develops computational methods for outbreak detection, forecasting, and control. She appears with [[wiki/Suzanne Barber|Suzanne Barber]] and [[wiki/Andy Ellington|Andy Ellington]] on the [[wiki/Surety BioEvent App|Surety BioEvent App]]. UT’s 2018 report documents her group evaluating more than 600 potential influenza data streams with [[wiki/Texas Advanced Computing Center|TACC]] resources and supplying the resulting methods to [[wiki/Defense Threat Reduction Agency|DTRA]]’s [[wiki/Biosurveillance Ecosystem|Biosurveillance Ecosystem]]. This provides a named research-to-system transfer. In March 2020, Meyers established the [[wiki/UT COVID-19 Modeling Consortium|UT COVID-19 Modeling Consortium]]. The consortium joined Meyers Lab’s epidemiological models to TACC computation and dashboards, [[wiki/Dell Medical School|Dell Medical School]] clinicians and population-health researchers, regional hospital inputs, and [[wiki/Austin Public Health|Austin Public Health]] / [[wiki/City of Austin|City of Austin]] decision processes. The work included surveillance, staged-alert systems, hospital-capacity forecasting, testing, school-opening strategy, vaccination, treatment, contact tracing, and real-time monitoring. This is a documented operational public-health network, not simply a body of academic publications. Meyers’ later influenza work includes a 2025 [[wiki/Proceedings of the National Academy of Sciences|PNAS]] analysis estimating the hospitalization burden averted by the 2022–2023 influenza vaccination program. The paper reports model-based estimates with uncertainty and scenario comparisons; [[wiki/Meyers Lab|the lab]] discussed the findings in a PNAS podcast promoted through [@meyerslab](https://x.com/meyerslab) in January 2026. The broader corpus follows disease modeling into intervention choices, including treatment and population-level effects. The comparison with threat-network analysis concerns partial observation, relationships, prediction, and intervention; epidemic and adversarial networks retain different causal mechanisms. ## Connected entries [[wiki/Meyers Lab|Meyers Lab]] · [[wiki/UT COVID-19 Modeling Consortium|UT COVID-19 Modeling Consortium]] · [[wiki/Center for Pandemic Decision Science|Center for Pandemic Decision Science]] · [[wiki/epiENGAGE Center for Forecasting and Outbreak Analytics|epiENGAGE]] · [[wiki/Dell Medical School|Dell Medical School]] · [[wiki/Department of Population Health at Dell Medical School|Department of Population Health]] · [[wiki/Austin Public Health|Austin Public Health]] · [[wiki/City of Austin|City of Austin]] · [[wiki/Proceedings of the National Academy of Sciences|PNAS]] · [[wiki/Oden Institute|Oden Institute]] · [[wiki/Surety BioEvent App|Surety BioEvent App]] · [[wiki/Biosurveillance Ecosystem|Biosurveillance Ecosystem]] · [[wiki/Texas Advanced Computing Center|Texas Advanced Computing Center]] · [[wiki/Epidemiological and Threat Network Analysis|Epidemiological and Threat Network Analysis]] · [[wiki/Medical Countermeasures|Medical Countermeasures]] · [[wiki/Andy Ellington|Andy Ellington]] · [[wiki/Defense Threat Reduction Agency|Defense Threat Reduction Agency]] · [[wiki/Google Flu Trends|Google Flu Trends]] · [[wiki/Suzanne Barber|Suzanne Barber]] ## Sources and corpus context - [[research/The Austin Executable Loop|The Austin Executable Loop — master document]] - [[research/Oden Institute - Machine Learning, Medicine, and Terrorism|Oden Institute - Machine Learning, Medicine, and Terrorism]] - [[research/Oden Institute - The Austin Succession Stack|Oden Institute - The Austin Succession Stack]] - [Prof. Suzanne Barber Awarded DTRA Grant for Work on Surety BioEvent App](https://ece.utexas.edu/news/prof-suzanne-barber-awarded-dtra-grant-work-surety-bioevent-app) - [Flu Season Forecasts Could Be More Accurate with Access to Health Care Companies’ Data](https://news.utexas.edu/2018/09/19/this-data-source-could-enable-better-flu-forecasts/) - [Lauren Ancel Meyers — Oden Institute](https://www.oden.utexas.edu/people/directory/Lauren%20Meyers/) - [Lauren Meyers — Applied Mathematics Group](https://amg.oden.utexas.edu/members/lauren-meyers/) - [Modeling a Global Pandemic — Lauren Ancel Meyers](https://oden.utexas.edu/news-and-events/news/Modeling-Global-Pandemic-Profile-Lauren-Ancel-Meyers/) - [Lauren Ancel Meyers — Integrative Biology](https://integrativebio.utexas.edu/directory/lauren-ancel-meyers) (accessed 2026-09-23) - [Lauren Ancel Meyers — Dell Medical School](https://dellmed.utexas.edu/directory/lauren-ancel-meyers) (accessed 2026-09-23) - [UT COVID-19 Modeling Consortium — People](https://covid-19.tacc.utexas.edu/people/) (accessed 2026-09-23) - [Estimated impact of 2022–2023 influenza vaccines on annual hospital burden in the United States](https://pmc.ncbi.nlm.nih.gov/articles/PMC12646225/) (PNAS, 2025) **Cluster:** [[wiki/Austin Executable Loop|Austin Executable Loop]] · [[wiki/Austin Research Evidence Map|Austin Research Evidence Map]] ## Relationships  Meyers **leads** [[wiki/Meyers Lab|Meyers Lab]], [[wiki/Center for Pandemic Decision Science|the Center for Pandemic Decision Science]], and [[wiki/epiENGAGE Center for Forecasting and Outbreak Analytics|epiENGAGE]]; **founded** the [[wiki/UT COVID-19 Modeling Consortium|UT COVID-19 Modeling Consortium]] in March 2020; **holds** a courtesy appointment at [[wiki/Dell Medical School|Dell Medical School]]; and **connects** UT outbreak science to TACC computation, local public health, federal health agencies, and DTRA biosurveillance.