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@elodiegermani1
elodiegermani1 committed Sep 29, 2024
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24 changes: 20 additions & 4 deletions cv.html
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Expand Up @@ -50,7 +50,7 @@ <h2>Education</h2>
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<p><span class="strong">Ph.D. student in Deep Learning and Medical Image Processing</span></p>
<p>University of Rennes 1 | Rennes, France | Oct. 2021 - ?? </p>
<p>University of Rennes 1 | Rennes, France | Oct. 2021 - Sept. 2024 </p>
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<p>&#9646 <b>Subject</b>: Mitigating and exploring anaytical variability of fMRI results using representation learning</p>
<p>&#9646 Analytical variability in neuroimaging, medical image analysis, statistical learning, deep learning, etc.</p>
Expand Down Expand Up @@ -130,17 +130,33 @@ <h2>Research experience</h2>
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<h2>Teaching</h2>
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<p><span class="strong">Summer School on Affordable Artificial Intelligence (SAAI)</span></p>
<p>AGYA | Bonn, Germany | July 2024 </p>
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<p>&#9646 Practical sessions of Python programming for data science and machine learning, statistics and mathematics. </p>
<p>&#9646 TP: 10h.</p>
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<p><span class="strong">L2 ISTN - Data science</span></p>
<p>ISTIC, University of Rennes | Rennes, France | Feb. 2023 - May. 2023</p>
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<p>&#9646 Initiation to data management, visualization, modelisation (linear regression, statistical testing, time series, etc.) using R. </p>
<p>&#9646 TP: 24h.</p>
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<p><span class="strong">M2 SIBM - UE3 Exploiting massive and complex data</span></p>
<p>UFR Medicine, University of Rennes 1 | Rennes, France | Feb. 2023 - May. 2023 </p>
<p>UFR Medicine, University of Rennes | Rennes, France | Feb. 2023 - May. 2023 </p>
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<p>&#9646 Explanations of the notion of pipeline, analytical variability, good practices of publication, etc. </p>
<p>&#9646 CM: 3h, one group of 12 students.</p>
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<p><span class="strong">L1 ISTN - Professional project and communication</span></p>
<p>ISTIC, University of Rennes 1 | Rennes, France | Feb. 2023 - May. 2023 </p>
<p>ISTIC, University of Rennes | Rennes, France | Feb. 2023 - May. 2023 </p>
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<p>&#9646 Tutorial to use LibreOffice. </p>
<p>&#9646 TP: 8h, one group of 40 students. </p>
Expand All @@ -156,7 +172,7 @@ <h2>Teaching</h2>
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<p><span class="strong">M2 IL - Machine Learning</span></p>
<p>ISTIC, University of Rennes 1 | Rennes, France | 2022 - 2024 </p>
<p>ISTIC, University of Rennes 1 | Rennes, France | Nov. 2022 - Dec. 2023 </p>
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<p>&#9646 Initiation to machine learning in Python using scikit-learn and Keras.</p>
<p>&#9646 TP: 10h per year, one group of 10 students. Course given in Fall 2022 and 2023. </p>
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8 changes: 4 additions & 4 deletions index.html
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Expand Up @@ -48,16 +48,16 @@ <h2 id="title" class="italic">PhD student</h2>
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<h2 id="first">Welcome to my website! 👋</h2>
<p style="margin-bottom:0.5cm;">I am a third year PhD student in <a href="https://team.inria.fr/empenn/">Empenn</a> research unit at <a href="https://www.irisa.fr/en">IRISA/INRIA Rennes</a> laboratory. I am working under the supervision of Dr. <a href="http://camillemaumet.com">Camille MAUMET</a> and Prof. <a href="http://people.irisa.fr/Elisa.Fromont/">Elisa FROMONT</a> from <a href="https://team.inria.fr/lacodam/fr/">LACODAM</a> research team. </p>
<p style="margin-bottom:0.5cm;">My main research focus on exploring and modelling analytical variability in fMRI data analyses. In particular, I use machine learning methods to explore the fMRI analytical space and understand the relationships between pipelines. I also apply standard deep learning techniques (generative AI, style transfer, transfer learning, etc.) to limit the impact of variability in neuroimaging studies. </p>
<p style="margin-bottom:0.5cm;">I am a postdoctoral researcher at <a href="https://www.ukbonn.de/">UniversitätKlinikum Bonn</a>, with <a href="https://albarqouni.github.io/">Prof. Albarqouni</a>. Previously, I did my PhD in the <a href="https://team.inria.fr/empenn/">Empenn</a> research unit at the <a href="https://www.irisa.fr/en">IRISA</a> laboratory in Rennes, under the supervision of Dr. <a href="http://camillemaumet.com">Camille MAUMET</a> and Prof. <a href="http://people.irisa.fr/Elisa.Fromont/">Elisa FROMONT</a> from <a href="https://team.inria.fr/lacodam/fr/">LACODAM</a> research team. </p>
<p style="margin-bottom:0.5cm;">My research focuses on exploring, modelling and building solutions to take into account the <b>variability of data in medical imaging</b>, particularly in machine learning studies. During my PhD, my goal was to facilitate the <b>re-use of data shared on public databases</b> by taking into account the different sources of variability. In the future, I would like to focus more in the use of real-world data and on the robustness of machine learning models to <b>dataset shifts and privacy attacks</b>. I am also interested in building <b>affordable</b> and <b>adaptable</b> solutions for an universal utility.</p>
<!-- <h2 id="first">History 📖</h2>
<p style="margin-bottom:1cm;"> After highschool, I started my journey in higher education with medicine school. After 4 years of studying medical science, passionated with biostatistics, I discovered bioinformatics and machine learning. I started a Master's degree in Bioinformatics and Genomics, specialized in Informatics and Integrative Biology. I realized a first internship at the <a href="http://www.ciml.univ-mrs.fr/fr">CIML</a> in Marseille with <a href="https://scholar.google.fr/citations?user=gzhZeOoAAAAJ&hl=fr">Dr. Hugues Lelouard</a> where I developed a Shiny App for analyzing microscopy images. After that, I started an internship with Dr. <a href="http://camillemaumet.com">Camille MAUMET</a> at <a href="https://www.irisa.fr/en">IRISA/INRIA Rennes</a> laboratory. During this internship, I studied analytical variability and the impact of sample sizes. In 2021, I started a PhD with Dr. <a href="http://camillemaumet.com">Camille MAUMET</a> and Prof. <a href="http://people.irisa.fr/Elisa.Fromont/">Elisa FROMONT</a> about representation learning for more reproducible fMRI analyses. </p> -->
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<a href="https://international.univ-rennes1.fr/"><img src="img/univ-rennes1.png" height="50"/></a>
<a href="https://www.irisa.fr/en"><img src="img/irisa.png" height="50"/></a>
<a href="https://www.inria.fr/en"><img src="img/inria.png" height="50"/></a>
<a href="https://team.inria.fr/empenn/"><img src="img/empenn.png" height="50"/></a>
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</p> -->
<a class="twitter-timeline" data-height="400" href="https://twitter.com/ElodieGermani?ref_src=twsrc%5Etfw">Tweets by ElodieGermani</a> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
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4 changes: 2 additions & 2 deletions publications.html
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Expand Up @@ -88,11 +88,11 @@ <h2 id="title" class="italic">PhD student</h2>
<img alt="BibTex" src="https://haltools.archives-ouvertes.fr/images/Haltools_bibtex3.png" border="0" title="BibTex" /></a>
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<p class='SousRubrique'>Submitted preprints</p>
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<dt class="ChampRes">titre</dt><dd class="ValeurRes Titre"><a href="https://inserm.hal.science/inserm-04531405" target="_blank" >Mitigating analytical variability in fMRI results with style transfer</a></dd>
<dt class="ChampRes">auteur</dt><dd class="ValeurRes Auteurs"><b>Elodie Germani</b>, Camille Maumet, Elisa Fromont</dd>
<dt class="ChampRes">article</dt><dd class="ValeurRes article">Submitted to <a href="https://www.sciencedirect.com/journal/medical-image-analysis">Medical Image Analysis</a>.</dd>
<dt class="ChampRes">article</dt><dd class="ValeurRes article">In revision at <a href="https://www.sciencedirect.com/journal/medical-image-analysis">Medical Image Analysis</a>.</dd>
<dt class="ChampRes">Accès au texte intégral et bibtex</dt>
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<a href="https://inserm.hal.science/inserm-04531405v1/file/samplepaper.pdf" target="_blank">
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