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Publications (79)

  • EpiFlow: A framework for improving the utility of wastewater signals for disease forecasting
    arXiv preprint arXiv:2608.06671 2026
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  • IDOBE: Infectious Disease Outbreak forecasting Benchmark Ecosystem
    arXiv preprint arXiv:2604.18521 2026
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  • Machine learning methods for detecting SD events in spatially linked scalp recordings
    Proceedings of the International Conference on Spreading Depolarization (ICSD) 2026
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  • Understanding Key Features of Time Series Foundation Models from Epidemic Forecasting
    arXiv preprint arXiv:2606.19560 2026
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  • Causal Analysis of Graph Signals for Brain Effectome Inference
    2025 59th Asilomar Conference on Signals, Systems, and Computers 2025
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  • IGraSS: learning to identify infrastructure networks from satellite imagery by iterative graph-constrained semantic segmentation
    Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence 2025
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  • Wastewater-based epidemiology for COVID-19 surveillance and beyond: A survey
    Epidemics 2024 DOI: 10.1016/j.epidem.2024.100793
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  • Data-driven mechanistic framework with stratified immunity and effective transmissibility for COVID-19 scenario projections
    Epidemics 2024 DOI: 10.1016/j.epidem.2024.100761
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  • Challenges of COVID-19 case forecasting in the US, 2020--2021
    PLoS computational biology 2024
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  • Coupled models of genomic surveillance and evolving pandemics with applications for timely public health interventions (vol 120, e2305227120, 2023)
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA 2024
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  • Evaluation of FluSight influenza forecasting in the 2021--22 and 2022--23 seasons with a new target laboratory-confirmed influenza hospitalizations
    Nature communications 2024
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  • Potential impact of annual vaccination with reformulated COVID-19 vaccines: Lessons from the US COVID-19 scenario modeling hub
    PLoS medicine 2024
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  • A Multi-Team Multi-Model Collaborative Covid-19 Forecasting Hub for India
    2023 Winter Simulation Conference (WSC) 2023
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  • Coupled models of genomic surveillance and evolving pandemics with applications for timely public health interventions
    Proceedings of the National Academy of Sciences 2023
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  • Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support
    The International Journal of High Performance Computing Applications 2023
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  • Evaluation of the US COVID-19 Scenario Modeling Hub for informing pandemic response under uncertainty
    Nature communications 2023
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  • Impact of SARS-CoV-2 vaccination of children ages 5--11 years on COVID-19 disease burden and resilience to new variants in the United States, November 2021--March 2022: A multi-model study
    The Lancet Regional Health--Americas 2023
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  • Informing pandemic response in the face of uncertainty. An evaluation of the US COVID-19 Scenario Modeling Hub
    medRxiv 2023
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  • Phase-informed bayesian ensemble models improve performance of COVID-19 forecasts
    Proceedings of the AAAI Conference on Artificial Intelligence 2023
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  • Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations
    Elife 2023
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