operational deployments

Operational infectious disease forecasting and scenario modeling deployed through ACCIDDA's computational infrastructure.

Scenario Modeling Hubs

Multi-model scenario projections produced by the Scenario Modeling Hubs contribute evidence used by the CDC Center for Forecasting and Outbreak Analytics (CFA) and public-health partners for planning, preparedness, and evaluation.

I develop and maintain ACCIDDA’s operational models for the Flu and COVID-19 Scenario Modeling Hubs and contribute to the computational infrastructure that supports multi-round scenario projections.

Flu Scenario Modeling Hub

Lead model developer for ACCIDDA’s influenza scenario projections.

  • 2026/27 operational round — supervising an undergraduate student in a scientific overhaul of the ACCIDDA flu model
  • 2025/26 operational round — leading scientific overhaul of the ACCIDDA flu model
  • 2024/25 operational round — initial model development and pipeline integration

Hub repository · Round results and reports

COVID-19 Scenario Modeling Hub

Data assimilation and modeling support for ACCIDDA’s COVID-19 projections.

  • 2025 health heterogeneities round — data cleaning, assimilation, and scenario analysis

Hub repository

Other Operational Work

Hib Vaccination Modeling (Navajo Nation)

Technical supervisor for an age- and immune-status-structured Haemophilus influenzae type b (Hib) model evaluating the impact of long-running vaccination programs in the Navajo Nation. Managing PhD students through model implementation, calibration, and policy analysis.

Diphtheria Outbreak Vaccination

Developing an operational modeling analysis of outbreak-response vaccination strategies, including the interaction between surveillance, immunity, and campaign timing. The working repository remains private while the analysis matures.

Infrastructure

This operational work directly informs the development of FlepiMoP2, OP Engine, and OP System, which compose into a declarative modeling stack: OP System compiles validated, Array-API-polymorphic model functions; OP Engine provides portable numerical kernels and backend-native execution; and FlepiMoP2 orchestrates configuration-defined campaigns and provider integrations. The stack is being developed against operational infectious-disease modeling requirements rather than as an isolated numerical demonstration.