Tan Bui-Thanh - Bryant McGill

# Tan Bui-Thanh **Entity class:** Concept or analytic term **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. **Tan Bui-Thanh** is an Oden researcher whose work joins [[wiki/Inverse Problem|inverse problems]], [[wiki/Reduced-Order Modeling|model reduction]], uncertainty, and predictive computation. Oden’s 2017 account documents [[wiki/Defense Threat Reduction Agency|DTRA]] support for faster prediction of nuclear-weapon radiation effects. The problem is operational timing as well as accuracy: expensive high-fidelity calculations must be made tractable enough to support decisions. In 2020 Oden documented Bui-Thanh applying the same broader predictive-science family to infectious-disease propagation: interconnectivity modeling, space-time dynamics, parameter inference, intervention analysis, real-time forecasting, model reduction, and uncertainty quantification. This is [[wiki/Documented Cross-Domain Method Transfer|documented cross-domain method transfer]], not a resemblance invented after the fact. Cross-domain portability is intrinsic to the research program. Oden describes Bui-Thanh's work as a general program in inverse problems, uncertainty quantification, model reduction, scientific machine learning, and timely prediction applied across fluid dynamics, wave propagation, plasma physics, geophysics, nuclear-radiation effects, oil reservoirs, and infectious disease. The [[wiki/Defense Threat Reduction Agency|DTRA]] sponsoring environment makes the dual-use relevance institutionally germane. DTRA's published research strategy includes physical and social networks, adversarial intent, prediction of individual and group dynamics associated with WMD acquisition and use, threat-network illumination, data-driven analytics, and counter-threat-network work. That record supports a [[wiki/Foreseeable Dual Use|strongly indicated foreseeable-dual-use]] finding. It does not by itself prove a particular undisclosed operational destination. The evidentiary sequence is: **documented capability → documented cross-domain method transfer → documented sponsor mission relevance → strongly indicated foreseeable dual use → specific operational application not publicly established**. No public source presently identifies the infectious-disease project as commissioned or deployed as a counterterrorism program. That question is [[wiki/Specific Operational Application Not Publicly Established|undetermined]]; public silence does not establish non-use, non-intent, exclusion, or impossibility. [[wiki/PHO-ICES|PHO-ICES]] supplies the research-group context. Model quality and uncertainty must still be evaluated for each receiving application. ## Connected entries [[wiki/PHO-ICES|PHO-ICES]] · [[wiki/Oden Institute|Oden Institute]] · [[wiki/Defense Threat Reduction Agency|Defense Threat Reduction Agency]] · [[wiki/Reduced-Order Modeling|Reduced-Order Modeling]] · [[wiki/Scientific Machine Learning|Scientific Machine Learning]] · [[wiki/Documented Cross-Domain Method Transfer|Documented Cross-Domain Method Transfer]] · [[wiki/Foreseeable Dual Use|Foreseeable Dual Use]] · [[wiki/Counterterrorism Predictive Graph Evidence Ladder|Counterterrorism Predictive Graph Evidence Ladder]] ## 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]] - [Probabilistic and High Order Inference, Computation, Estimation, and Simulation](https://oden.utexas.edu/research/centers-and-groups/probabilistic-high-order-inference-computation-estimation-and-simulation/) - [Minimizing Uncertainty in the Uncertain World of Defense, Energy](https://oden.utexas.edu/news-and-events/news/minimizing-uncertainty-in-uncertain-world-of-defense-energy/) - [How to Predict, Intervene, and Contain Current and Future Epidemics — Oden Institute, October 19, 2020](https://oden.utexas.edu/news-and-events/news/CONTEXTanBuiThanh/) - [2019 DTRA Strategic Plan for Research, Development, Test and Evaluation](https://www.dtra.mil/Portals/61/Documents/Missions/190424_2019_DTRA_Strategic_Plan_for_RDTE.pdf) **Cluster:** [[wiki/Austin Executable Loop|Austin Executable Loop]] · [[wiki/Austin Research Evidence Map|Austin Research Evidence Map]] ## Relationships  Tan Bui-Thanh **leads** [[wiki/PHO-ICES|PHO-ICES]], **co-directs** the [[wiki/Center for Scientific Machine Learning|Center for Scientific Machine Learning]], **received** [[wiki/Defense Threat Reduction Agency|DTRA]] support for timely radiation-effects prediction, and **led** the documented 2020 infectious-disease forecasting project. These edges establish method transfer and sponsor context. A formal counterterrorism mission assignment for the epidemic project remains not publicly established.