From 04f827c31f4cb2f3f88db4a4d963e857e1c07c39 Mon Sep 17 00:00:00 2001 From: Glory Mary Givi <55590372+gmgivi@users.noreply.github.com> Date: Mon, 8 Jun 2026 20:42:45 +0200 Subject: [PATCH 1/2] Glory's profile information Updated details for Glory. --- data/team/03-glory-givi.md | 11 ++++++++--- 1 file changed, 8 insertions(+), 3 deletions(-) diff --git a/data/team/03-glory-givi.md b/data/team/03-glory-givi.md index 7ac3cbb..f26dbf9 100644 --- a/data/team/03-glory-givi.md +++ b/data/team/03-glory-givi.md @@ -1,3 +1,8 @@ -## Glory Givi -role: Postdoc -interests: Machine Learning, Explainable AI, Scientific Computing +## Glory Mary Givi +role: Post doctoral researcher +title: Dr. +email: +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. From 37e99e285aaa664517a0bda642ad2f849138770b Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Mon, 8 Jun 2026 18:43:08 +0000 Subject: [PATCH 2/2] chore: rebuild index.html [skip ci] --- index.html | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/index.html b/index.html index fb02316..dcea81e 100644 --- a/index.html +++ b/index.html @@ -676,13 +676,13 @@

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GG
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Glory Givi

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Machine LearningExplainable AIScientific Computing
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Postdoc
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Dr. Glory Mary Givi

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Machine LearningExplainable AIScientific ComputingDynamical Systems
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Post doctoral researcher
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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.

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Portfolio →