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      <h1>Marine Denolle</h1>
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    <p class="eyebrow">AI-Enabled Earth Systems Scientist</p>
    <p class="lede">I build AI-driven, physically grounded systems to improve how we monitor hazards, model climate-risk interactions, and accelerate scientific discovery.</p>
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      <a class="btn btn-primary" href="{{ site.project_links.research_home }}" target="_blank" rel="noopener noreferrer">Research &amp; Publications</a>
      <a class="btn btn-secondary" href="{{ '/contact/' | relative_url }}">Collaborate / Contact</a>
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    <h2>What I Build</h2>
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        <h3>AI + Foundation Models for Earth</h3>
        <p>I develop methods that align foundation-model capabilities with Earth system data, from seismic waveforms to environmental time series. The focus is robust inference under sparse, noisy, and shifting conditions.</p>
        <a href="{{ site.project_links.ai_anchor }}" target="_blank" rel="noopener noreferrer">Learn more</a>
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        <h3>Multi-Sensor Infrastructure Intelligence</h3>
        <p>I design cross-modal monitoring strategies that combine seismic, geodetic, infrasound, and remote sensing streams. These systems improve situational awareness for critical infrastructure and public safety workflows.</p>
        <a href="{{ site.project_links.sensing_anchor }}" target="_blank" rel="noopener noreferrer">Learn more</a>
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        <h3>Climate-Geohazard Coupling</h3>
        <p>I study links between climate variability and geohazard processes to support risk-informed planning. The work blends physical modeling with data-driven detection for more actionable forecasting insights.</p>
        <a href="{{ site.project_links.climate_anchor }}" target="_blank" rel="noopener noreferrer">Learn more</a>
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    <h2>Select Projects</h2>
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          <h3>AgenticEarth</h3>
          <p>An agentic AI framework for Earth science workflows, designed to speed up hypothesis generation, data triage, and interpretable analysis across heterogeneous datasets.</p>
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        <p><a class="btn btn-small" href="{{ site.project_links.agentic_earth }}" target="_blank" rel="noopener noreferrer">Learn more</a></p>
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          <h3>Multi-sensor hazard networks</h3>
          <p>Integrated observational networks combining multiple sensing modalities to improve hazard detection, characterization, and downstream decision support in real time.</p>
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        <p><a class="btn btn-small" href="{{ site.project_links.hazard_networks }}" target="_blank" rel="noopener noreferrer">Learn more</a></p>
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          <h3>AI-driven waveform analysis</h3>
          <p>Machine learning pipelines for waveform interpretation, emphasizing reliable event detection, uncertainty estimation, and physically plausible model outputs.</p>
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        <p><a class="btn btn-small" href="{{ site.project_links.waveform_analysis }}" target="_blank" rel="noopener noreferrer">Learn more</a></p>
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    <h2>For Collaborators</h2>
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        <h3>Federal Agencies</h3>
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          <li>AI-enabled environmental monitoring and risk analytics</li>
          <li>Operational hazard intelligence prototypes</li>
          <li>Data integration across agency-scale sensor systems</li>
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        <h3>Philanthropy</h3>
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          <li>Climate resilience science for vulnerable communities</li>
          <li>Open, reproducible geohazard data infrastructure</li>
          <li>Cross-institutional impact programs at science-policy interfaces</li>
        </ul>
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        <h3>Industry</h3>
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          <li>Infrastructure risk sensing and anomaly detection</li>
          <li>AI copilots for geospatial and geophysical workflows</li>
          <li>Applied R&amp;D partnerships for safety-critical systems</li>
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    <h2>Media / Talks</h2>
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