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<!DOCTYPE html>
<html>
<head>
<meta http-equiv="content-type" content="text/html; charset=UTF-8">
<title>Curriculum Vitae</title>
<link rel="icon" href="img/index.jpg">
<link rel="stylesheet" href="files/style.css">
<link rel="shortcut icon" type="image/png" href="img/favicon.png"/>
</head>
<body>
<div class="container">
<div id="navigation">
<div id="profile">
<a><img src="img/elodiegermani.png"></a>
</div>
<div id="contact">
<h1>
Elodie <span class="upper">GERMANI</span>
<br/>
<h2 id="title" class="italic">PhD student</h2>
<p>[email protected]</p>
<p>Rennes, France</p>
<p class="link">
<a href="https://scholar.google.com/citations?user=BTAAgQEAAAAJ&hl=fr"><img id="scholar" src="img/scholar.png" class="external"></a>
<a href="https://github.com/elodiegermani"><img id="github" src="img/github.png" class="external"></a>
<a href="https://gitlab.inria.fr/egermani"><img id="gitlab" src="img/gitlab.png" class="external"></a>
<a href="https://www.linkedin.com/in/elodie-germani-b861021a2/"><img id="linkedin" src="img/linkedin.png" class="external"></a>
<a href="https://twitter.com/ElodieGermani"><img id="twitter" src="img/twitter.png" class="external"></a>
</p>
</div>
<br/>
<div class="vertical-menu">
<a href="index.html">HOME</a>
<br/>
<a href="cv.html" class="active">CV</a>
<br/>
<a href="publications.html">PUBLICATIONS</a>
<br/>
<a href="projects.html">PROJECTS</a>
<br/>
<a href="mediation.html">OUTREACH</a>
<br/>
</div>
<small>© Inria / Photo B. Fourrier</small>
</div>
<div id="content">
<div id="education">
<h2>Education</h2>
<ul>
<li>
<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 - Sept. 2024 </p>
<div class="additional-text">
<p>▮ <b>Subject</b>: Mitigating and exploring anaytical variability of fMRI results using representation learning</p>
<p>▮ Analytical variability in neuroimaging, medical image analysis, statistical learning, deep learning, etc.</p>
<p>Supervised by <a href=http://camillemaumet.com/>Camille Maumet</a> & <a href="http://people.irisa.fr/Elisa.Fromont/">Elisa Fromont</a>.</p>
</div>
</li>
<li>
<p><span class="strong">Master's degree in Bioinformatics & Genomics</span></p>
<p>University of Rennes 1 | Rennes, France | Sep. 2019 - Jul. 2021</p>
<div class="additional-text">
<p>▮ <b>Major</b>: IBI, Informatics & Integrative Biology</p>
<p>▮ Final rank: <b>1/17</b>. Average grade: <b>17.346</b>. </p>
</div>
</li>
<li>
<p><span class="strong">Medical studies</span></p>
<p>University of Versailles Saint-Quentin en Yvelines (UVSQ) | Montigny-le-Btx, France | Sep. 2015 - Jun. 2019</p>
<div class="additional-text">
<p>▮ PACES, 1st year common to health studies: succeeded in one year, rank: <b>73/852</b>; </p>
<p>▮ 2nd, 3rd and 4th year of medical studies </p>
</div>
</li>
</ul>
</div>
<div id="experience">
<h2>Research experience</h2>
<ul>
<li>
<p><span class="strong">Visiting PhD student - Improving rs-fMRI-derived biomarkers of Parkinson's Disease through analytical variability evaluations</span></p>
<p>Big Data Infrastructures for Neuroinformatics lab, Concordia University and the ORIGAMI lab, McGill University | Montreal (QC), Canada | Aug. 2023 - Nov. 2023</p>
<div class="additional-text">
<p>▮ Reproduction and replication of a study using rs-fMRI and machine learning; </p>
<p>▮ Variations in the methodology and data; </p>
<p>▮ Assessment of the effect of these variations in the performance.</p>
<p>Supervised by <a href=https://www.mcgill.ca/neuro/jean-baptiste-poline-phd/>JB Poline</a> and <a href=https://users.encs.concordia.ca/~tglatard/>Tristan Glatard</a>.</p>
</div>
</li>
<li>
<p><span class="strong">PhD student - Representation learning for more reproducible fMRI data analyses</span></p>
<p>Empenn research unit, Univ Rennes, CNRS, Inria, Inserm, IRISA | Rennes, France | Oct. 2021 - ??</p>
<div class="additional-text">
<p>▮ Exploring and understanding the fMRI pipeline space through machine learning algorithms; </p>
<p>▮ Development and use of standard deep learning method to limit the impact of analytical variability. </p>
<p>Supervised by Dr. <a href=http://camillemaumet.com/>Camille Maumet</a> and Prof. <a href=https://people.irisa.fr/Elisa.Fromont/>Elisa Fromont</a>.</p>
</div>
</li>
<li>
<p><span class="strong">M2 Internship - Evolution of analytical variability with sample size in fMRI data analyses</span></p>
<p>Empenn research unit, Univ Rennes, CNRS, Inria, Inserm, IRISA | Rennes, France | Jan. 2021 - Jul. 2021</p>
<div class="additional-text">
<p>▮ Reproduction of existant fMRI data analyses pipelines; </p>
<p>▮ Use of comparison metrics to evaluate analytical variability; </p>
<p>▮ Impact of the number of subjects in this variability.</p>
<p>Supervised by <a href=http://camillemaumet.com/>Camille Maumet</a>.</p>
</div>
</li>
<li>
<p><span class="strong">M1 Internship - Development of an R/Shiny app for tissue section image quantitative analysis </span></p>
<p>Center of immunology of Marseille-Luminy (CIML) | Marseille, France | Apr. 2020 - Jul. 2020</p>
<div class="additional-text">
<p>▮ Tissue section microscopy images analysis with ImageJ; </p>
<p>▮ Development of an R/Shiny app that gives an interaction between an intensity scatterplot and the image.</p>
<p>Supervised by <a href=https://scholar.google.fr/citations?user=gzhZeOoAAAAJ&hl=fr>Hugues Lelouard</a> & <a href=https://www.linkedin.com/in/mathieu-fallet-48471323/?originalSubdomain=fr>Mathieu Fallet</a>.</p>
</div>
</li>
<li>
<p><span class="strong">Discovery Internship - Machine Learning for Bioinformatics </span></p>
<p>MAP5 Laboratory, University Paris Descartes | Paris, France | Jun. 2019 </p>
<div class="additional-text">
<p>▮ Initiation to statistical learning in Python applied to bioinformatics on biological data; </p>
<p>▮ Internship done in prevision of a shift in career path to bioinformatics. </p>
<p>Supervised by <a href=https://scholar.google.com/citations?user=wZgVmyMAAAAJ&hl=en>Warith Harchaoui</a>.</p>
</div>
</li>
</ul>
</div>
<div id="teaching">
<h2>Teaching</h2>
<ul>
<li>
<p><span class="strong">Summer School on Affordable Artificial Intelligence (SAAI)</span></p>
<p>AGYA | Bonn, Germany | July 2024 </p>
<div class="additional-text">
<p>▮ Practical sessions of Python programming for data science and machine learning, statistics and mathematics. </p>
<p>▮ TP: 10h.</p>
</div>
</li>
<li>
<p><span class="strong">L2 ISTN - Data science</span></p>
<p>ISTIC, University of Rennes | Rennes, France | Feb. 2023 - May. 2023</p>
<div class="additional-text">
<p>▮ Initiation to data management, visualization, modelisation (linear regression, statistical testing, time series, etc.) using R. </p>
<p>▮ TP: 24h.</p>
</div>
</li>
<li>
<p><span class="strong">M2 SIBM - UE3 Exploiting massive and complex data</span></p>
<p>UFR Medicine, University of Rennes | Rennes, France | Feb. 2023 - May. 2023 </p>
<div class="additional-text">
<p>▮ Explanations of the notion of pipeline, analytical variability, good practices of publication, etc. </p>
<p>▮ CM: 3h, one group of 12 students.</p>
</div>
</li>
<li>
<p><span class="strong">L1 ISTN - Professional project and communication</span></p>
<p>ISTIC, University of Rennes | Rennes, France | Feb. 2023 - May. 2023 </p>
<div class="additional-text">
<p>▮ Tutorial to use LibreOffice. </p>
<p>▮ TP: 8h, one group of 40 students. </p>
</div>
</li>
<li>
<p><span class="strong">L1 ISTN - Principles of computer systems</span></p>
<p>ISTIC, University of Rennes 1 | Rennes, France | Feb. 2023 - May. 2023 </p>
<div class="additional-text">
<p>▮ Analysis of the operation of several computer systems and various principles, such as the principle of locality, and an introduction to measuring the capacities of these systems and to the notion of quantity of information. </p>
<p>▮ TP: 28h, one group of 40 students. </p>
</div>
</li>
<li>
<p><span class="strong">M2 IL - Machine Learning</span></p>
<p>ISTIC, University of Rennes 1 | Rennes, France | Nov. 2022 - Dec. 2023 </p>
<div class="additional-text">
<p>▮ Initiation to machine learning in Python using scikit-learn and Keras.</p>
<p>▮ TP: 10h per year, one group of 10 students. Course given in Fall 2022 and 2023. </p>
</div>
</li>
<li>
<p><span class="strong">L1 BECV - Mathematics for biology</span></p>
<p>UFR SVE, University of Rennes 1 | Rennes, France | Sep. 2021 - Apr. 2022 </p>
<div class="additional-text">
<p>▮ TD: 3h per week, 2 groups of 40 students. Statistics, probability laws...</p>
<p>▮ TP: 3h per week, 2 groups of 20 students. Learning of Python programming language with biologic applications. </p>
</div>
</li>
<li>
<p><span class="strong">Initiation to creative programming with Python</span></p>
<p>L codent, L créent initiative in College Le Landry | Rennes, France | Sep. 2021 - Dec. 2021 </p>
<div class="additional-text">
<p>▮ Creative programming with the package "processing" in Python. </p>
<p>▮ 45min sessions, once a week during 8 weeks for girls only (13-14 yo). </p>
<p>▮ More information here: <a href=http://lclc-rennes.irisa.fr/> lclc-rennes.irisa.fr </a></p>
</div>
</li>
<li>
<p><span class="strong">Tutorials in Biostatistics</span></p>
<p>Paris Ouest Tutorat | Montigny-le-Btx, France | Sep. 2016 - Jan. 2017 </p>
<div class="additional-text">
<p>▮ Courses for PACES students (preparing 1st year common to health studies competition); </p>
<p>▮ Writing & corrections of mock exams.</p>
</div>
</li>
<li>
<p><span class="strong">Tutorials in Mathematics</span></p>
<p> Sep. 2016 - Jul. 2018 </p>
<div class="additional-text">
<p>▮ For pupiles aged from 13 to 16 years old; </p>
<p>▮ Preparation of the baccalaureat with a Term. S student (Scientific track). </p>
</div>
</li>
</ul>
</div>
<div id="supervision">
<h2>Supervision</h2>
<ul>
<li>
<p><span class="strong">Thibault Chanus - ENS Rennes</span></p>
<p>Oct. 2023 - Current </p>
<div class="additional-text">
<p>▮ M2 Internship on diffusion models for style transfer. Co-supervised with Pr. Elisa Fromont. </p>
</div>
</li>
<li>
<p><span class="strong">Maïwenn Fleig - University of Düsseldorf</span></p>
<p>Apr. 2023 - July 2023 </p>
<div class="additional-text">
<p>▮ M2 Internship on the use of diffusion models on fMRI statistic maps. Co-supervised with Pr. Elisa Fromont. </p>
</div>
</li>
</ul>
</div>
<div id="representation">
<h2>Representation</h2>
<ul>
<li>
<p><span class="strong">Student member of the council doctoral school Matisse</span></p>
<p>Sept. 2022 - Current </p>
<div class="additional-text">
<p>▮ Involved in meetings of the doctoral school council (3-4 per year). </p>
<p>▮ Communication and support to other PhD students. </p>
</div>
</li>
</ul>
</div>
<div id="skills">
<h2>Professional skills</h2>
<div class="comp">
<p>Python (data science, deep learning)</p>
<div class="conteneur-barre"><span class="barre c100"></span></div>
</div>
<div class="comp">
<p>Neuroimaging software packages: SPM, FSL</p>
<div class="conteneur-barre"><span class="barre c100"></span></div>
</div>
<div class="comp">
<p>R</p>
<div class="conteneur-barre"><span class="barre c100"></span></div>
</div>
<div class="comp">
<p>Java</p>
<div class="conteneur-barre"><span class="barre c80"></span></div>
</div>
<div class="comp">
<p>MySQL</p>
<div class="conteneur-barre"><span class="barre c80"></span></div>
</div>
<div class="comp">
<p>LaTeX</p>
<div class="conteneur-barre"><span class="barre c80"></span></div>
</div>
<div class="comp">
<p>Docker/Apptainer</p>
<div class="conteneur-barre"><span class="barre c80"></span></div>
</div>
<div class="comp">
<p>Git</p>
<div class="conteneur-barre"><span class="barre c80"></span></div>
</div>
<div class="comp">
<p>HTML / CSS</p>
<div class="conteneur-barre"><span class="barre c50"></span></div>
</div>
</div>
<div id="hobbies">
<h2>Hobbies</h2>
<ul>
<li>
<div class="additional-text">
<p>▮ Travelling and hiking. </p>
<p>▮ Sport: running, weight training, swimming. </p>
<p>▮ Cooking. </p>
</div>
</li>
</ul>
</div>
</div>
</div>
</body>
</html>