From f68546e726132c5d5d8981de3a856471fb7eef3c Mon Sep 17 00:00:00 2001
From: Santiago <16252054+sssilvar@users.noreply.github.com>
Date: Tue, 5 Jan 2021 10:33:28 +0100
Subject: [PATCH] Collaborators

---
 _config.yml     |  2 +-
 _toc.yml        |  4 +++-
 contributors.md | 52 +++++++++++++++++++++++++++++++++++++++++++++++++
 3 files changed, 56 insertions(+), 2 deletions(-)
 create mode 100644 contributors.md

diff --git a/_config.yml b/_config.yml
index afd49b1..ffa2c8c 100644
--- a/_config.yml
+++ b/_config.yml
@@ -1,5 +1,5 @@
 title: "AI4health winter school - Practical Session on Handling heterogeneity in the analysis of biomedical information"
-author: Marco Lorenzi, Santiago Silva, Irene Balelli, Yann Fraboni, Andrea Senacheribbe, Luigi Antelmi
+author: "Practical Session on Handling heterogeneity in the analysis of biomedical information Team"
 logo: "assets/img/logo.jpg"
 only_build_toc_files: true
 exclude_patterns: [_build, Thumbs.db, .DS_Store, "**.ipynb_checkpoints", "README.md"]
diff --git a/_toc.yml b/_toc.yml
index a8a5730..3d0acf6 100644
--- a/_toc.yml
+++ b/_toc.yml
@@ -24,7 +24,9 @@
   - file: federated_learning/federated_mcvae_adni.ipynb
     title: Federated Multi-channel VAEs on biomedical data
 
-
+- part: About
+  chapters:
+    - file: contributors.md
 
 # - part: federated Learning
 # chapters:
diff --git a/contributors.md b/contributors.md
new file mode 100644
index 0000000..d841b39
--- /dev/null
+++ b/contributors.md
@@ -0,0 +1,52 @@
+# Contributors
+
+## Marco Lorenzi
+Tenured research scientist (CR) at Université Côte d’Azur, INRIA Sophia Antipolis.
+
+**Research interests:** development of statistical and machine learning methods for the analysis of large-scale and heterogeneous biomedical data. Current research topics include Bayesian modeling and uncertainty quantification, time-series analysis, latent variable models, and federated learning.
+
+<a href="https://marcolorenzi.github.io/" target="_blank"><i class="fas fa-link"></i></a>
+
+
+## Luigi Antelmi
+MSc. Biomedical engineering - PhD candidate at Université Côte d’Azur, INRIA Sophia Antipolis.
+
+**Research Interests:** statistical learning, multimodal brain image analysis, computational clinical neuroscience, variational inference.
+
+<a href="https://github.com/ggbioing" target="_blank"><i class="fab fa-github-square"></i></a>
+<a href="https://www.linkedin.com/in/ggbioing/" target="_blank"><i class="fab fa-linkedin"></i></a>
+<a href="https://twitter.com/ggbioing" target="_blank"><i class="fab fa-twitter-square"></i></a>
+
+
+
+## Irene Balelli
+Postdoctoral researcher at INRIA Sophia Antipolis.
+
+**Research Interests:** Federated Statistical Learning, Bayesian Learning, Mathematical Modeling, Mixed Effects Models. Neurodegenerative Diseases, Immunology.
+
+<a href="https://irenebalelli.wixsite.com/site" target="_blank"><i class="fas fa-link"></i></a>
+
+
+## Yann Fraboni
+PhD candidate at Université Côte d’Azur, INRIA Sophia Antipolis, Accenture Labs.
+
+**Research Interests:** Model biasing and adversarial attacks in Federated Learning.
+
+## Andrea Schenacheribbe
+Intern at INRIA Sophia Antipolis - Double degree master student at EURECOM and Politecnico di Torino.
+
+**Research Interests:** Data science and machine learning.
+
+<a href="https://www.linkedin.com/in/yannfraboni" target="_blank"><i class="fab fa-linkedin"></i></a>
+
+
+
+## Santiago Silva
+MSc. Biomedical engineering - PhD candidate at Université Côte d’Azur, INRIA Sophia Antipolis.
+
+**Research Interests:** Medical imaging, statistical analysis and federated learning.
+
+<a href="https://www.researchgate.net/profile/Santiago_Silva_Rincon" target="_blank"><i class="fab fa-researchgate"></i></a>
+<a href="https://gitlab.inria.fr/ssilvari/" target="_blank"><i class="fab fa-gitlab"></i></a>
+<a href="https://github.com/sssilvar/" target="_blank"><i class="fab fa-github-square"></i></a>
+<a href="https://www.linkedin.com/in/baterosmith/" target="_blank"><i class="fab fa-linkedin"></i></a>
\ No newline at end of file
-- 
GitLab