# 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 <!-- BEGIN HUMANIZED RELATIONSHIPS 2026-09-11 --> 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. <!-- END HUMANIZED RELATIONSHIPS 2026-09-11 --> ## Austin defense-technology role UT researcher whose group used large data and computational resources to improve epidemic forecasts. The article connects the methods with DTRA's biosurveillance environment. Oden develops mathematical and computational methods for reconstructing, predicting, and influencing complex systems. The article identifies named interfaces with ARL:UT, DTRA-funded radiation modeling, and Meyers-group biosurveillance. Shared methods connect the domains; a documented project, sponsor, or transfer establishes each particular institutional relationship. ### Regional relationships - **research application:** [[wiki/Influenza Forecasting|Influenza Forecasting]]. - **documented method recipient:** [[wiki/Biosurveillance Ecosystem|DTRA Biosurveillance Ecosystem]]. - **regional master router:** [[wiki/Austin Defense Technology|Austin Defense Technology]]. - **source article:** [[articles/How Austin Became a Different Kind of Defense Tech Epicenter|How Austin Became a Different Kind of Defense Tech Epicenter]]. - **civilian supplier and participation economy:** [[collections/The Civilian Intelligence Marketplace|The Civilian Intelligence Marketplace]]. - **intelligence architecture:** [[collections/Terrorism, Counterterrorism, and the Intelligence Environment|Terrorism, Counterterrorism, and the Intelligence Environment]]. ### Austin sources - [[articles/How Austin Became a Different Kind of Defense Tech Epicenter#The Executable Loop|Austin defense-tech article — The Executable Loop]] — October 2026 revision; source for this entry’s regional role. - [Bryant McGill, Oden Institute: Machine Learning, Medicine, and Terrorism](https://bryantmcgill.com/research/Oden+Institute+-+Machine+Learning%2C+Medicine%2C+and+Terrorism) - [Bryant McGill, UT Austin: The University Affiliated Research Center and ACES](https://bryantmcgill.com/research/UT+Austin+-+The+University+Affiliated+Research+Center+and+ACES) - [Oden Institute, Minimizing Uncertainty in Uncertain World of Defense, Energy](https://oden.utexas.edu/news-and-events/news/minimizing-uncertainty-in-uncertain-world-of-defense-energy/) ## Connected Austin capabilities [[wiki/Influenza Forecasting|Influenza Forecasting]], [[wiki/Biosurveillance Ecosystem|DTRA Biosurveillance Ecosystem]]. These entries identify associated implementations, people, methods, and institutional contexts in [[articles/How Austin Became a Different Kind of Defense Tech Epicenter|How Austin Became a Different Kind of Defense Tech Epicenter]]. [[wiki/Austin Defense Technology|Austin Defense Technology]] supplies their regional arrangement; [[collections/The Civilian Intelligence Marketplace|The Civilian Intelligence Marketplace]] supplies the wider supplier and participation economy.