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11 changes: 8 additions & 3 deletions data/team/03-glory-givi.md
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## Glory Givi
role: Postdoc
interests: Machine Learning, Explainable AI, Scientific Computing
## Glory Mary Givi
role: Post doctoral researcher
title: Dr.
email: <glorymary.givi@hevs.ch>
portfolio: https://scholar.google.com/citations?user=ujG151oAAAAJ&hl=en
interests: Machine Learning, Explainable AI, Scientific Computing, Dynamical Systems

Glory is a postdoctoral research assistant developing domain-informed machine learning models to predict tree growth and mortality under changing climatic conditions. Her work integrates ecological, physiological, and remote sensing data within differentiable modeling frameworks to capture complex, non-linear interactions between climate stressors and forest ecosystems. She is committed to building interpretable and generalizable models that inform adaptive forest management and climate mitigation strategies.
12 changes: 6 additions & 6 deletions index.html
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Expand Up @@ -676,13 +676,13 @@ <h3><a href="https://cedrictravelletti.github.io/" target="_blank" rel="noopener
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<div class="collab-avatar">GG</div>
<img class="collab-photo" src="https://www.gravatar.com/avatar/92e4f311a9403e027f54a26c88434194?s=200&d=mp" alt="GM" />
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<h3>Glory Givi</h3>
<div class="collab-interests"><span class="interest-tag">Machine Learning</span><span class="interest-tag">Explainable AI</span><span class="interest-tag">Scientific Computing</span></div>
<div class="collab-subtitle">Postdoc</div>


<h3>Dr. Glory Mary Givi</h3>
<div class="collab-interests"><span class="interest-tag">Machine Learning</span><span class="interest-tag">Explainable AI</span><span class="interest-tag">Scientific Computing</span><span class="interest-tag">Dynamical Systems</span></div>
<div class="collab-subtitle">Post doctoral researcher</div>
<p class="collab-bio">Glory is a postdoctoral research assistant developing domain-informed machine learning models to predict tree growth and mortality under changing climatic conditions. Her work integrates ecological, physiological, and remote sensing data within differentiable modeling frameworks to capture complex, non-linear interactions between climate stressors and forest ecosystems. She is committed to building interpretable and generalizable models that inform adaptive forest management and climate mitigation strategies.</p>
<div class="collab-links"><a class="collab-link" href="https://scholar.google.com/citations?user=ujG151oAAAAJ&amp;hl=en" target="_blank" rel="noopener">Portfolio →</a></div>
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