FIX: refine alumni data display

_data/alumni_members.yml

@@ -1,10 +1,72 @@
-- name: Gijsbert Verdoes
-  photo: verdoes.jpg
-  duration: In the Allan Lab 2015 - 2018, now Project manager at the FMD
-  info: Fine mechanical engineer associated with the FMD working in our group
-  email: verdoes@fmd.physics.leidenuniv.nl
-  number_educ: 1
-  education1: Leidse instrumentmakers School
-  education2:
-  education3:
-  education4:
+- name: Céline Provins
+  photo: provins.png
+  email: celine.provins@unil.ch
+  title: PhD Student (Jan 2021 - Mar 2025); Research Engineer (Mar 2025 - Jul 2025)
+  education:
+    - Ph.D. in Neuroscience (2021 - 2025) University of Lausanne (Lausanne, Switzerland)
+    - 6 months research visit in Stanford University (CA, US)
+    - M.Sc. (2018-2020) EPFL (Lausanne, Switzerland)
+    - 1 year exchange Uppsala University (Sweden)
+    - B.Sc. (2015-2017) EPFL (Lausanne, Switzerland)
+  bio: |
+    Throughout her PhD, Céline focused on characterizing and improving the reliability of brain connectivity estimates
+      by addressing key sources of variability in MRI-based measurements.
+    To mitigate the impact of methodological flexibility in neuroimaging pipelines, she contributed to standardizing
+      quality assurance and quality control (QA/QC) procedures by developing a comprehensive QA/QC protocol that can be
+      easily reused and adapted to other project needs.
+    She also helped enhance MRIQC and fMRIPrep, widely used tools that standardize image preprocessing.
+    Additionally, she investigated the impact of defacing on perceived image quality, demonstrating that QC procedures
+      should ideally be performed before defacing to prevent biased assessments.
+
+    Céline also co-led the acquisition of the Human Connectome Phantom (HCPh) dataset, a large-scale initiative designed to
+      systematically assess the reliability of functional and structural connectivity.
+    By repeatedly scanning a single individual across multiple scanners, the dataset provides a unique opportunity to
+      disentangle between-scanner and within-scanner variability in both functional and diffusion MRI.
+    It also serves as a valuable resource for developing improved methods to remove non-neural signal fluctuations in fMRI.
+
+    Now, as a Research Engineer, Céline is finalizing the analysis of the HCPh dataset and preparing it for public
+      sharing, further supporting the lab’s efforts to promote open science and reproducibility in MRI research.
+  links:
+    - '[Google Scholar](https://scholar.google.com/citations?user=sXWWF2MAAAAJ&hl=en)'
+    - '[ORCID](https://orcid.org/0000-0002-1668-9629)'
+
+- name: Elodie Savary
+  photo: photo_esavary300x300.png
+  email: elodie.savary@outlook.com
+  title: Scientific software developer (Dec 2022 - May 2024)
+  education:
+    - PhD. (2022) EPFL (Lausanne, Switzerland)
+    - M.Sc. (2018) EPFL (Lausanne, Switzerland)
+    - B.Sc. (2016) EPFL (Lausanne, Switzerland)
+  bio: |
+    My background is in Astrophysics. During my PhD, I developed deep-learning tools to classify, segment and generate images.
+    In addition to a machine learning core, my PhD research involved a substantial amount of image processing.
+    In The AxonLab, I contribute to implementing preprocessing tools under the umbrella of the [*NiPreps* ecosystem](https://nipreps.org) to improve computational reproducibility and reduce methodological variability in MRI research.
+    In addition to this, I am strongly committed to promoting open science.
+  links:
+    - '[Google Scholar](https://scholar.google.com/citations?user=2eOoXSoAAAAJ&hl=en)'
+    - '[ORCID](https://orcid.org/0000-0002-3896-6906)'
+
+- name: Alexandre Cionca
+  photo: acionca.jpeg
+  email: alexandre.cionca@gmail.com
+  title: Research assistant (Sep 2023 - Dec 2023)
+  education:
+    - Research engineer (2021-2023) UNIGE & HUG (Geneva, Switzerland)
+    - M.Sc. (2018-2020) EPFL (Lausanne, Switzerland)
+    - B.Sc. (2014-2017) EPFL (Lausanne, Switzerland)
+  bio: |
+    Alexandre Cionca is a research assistant in the Department of Radiology at the University Hospital of
+    Lausanne (CHUV).
+    He graduated from EPFL with a specialization in Computational Science and Engineering (CSE).
+    He focused his studies on data science and statistical learning applied to the neuroimaging field.
+    He then joined the Clinical and Experimental Neuropsychology lab ([CENLab](https://cenlab.ch)) at the
+    University of Geneva, where he worked on all-around data processing and analysis for the
+    [COVID-COG](https://unige.ch/fapse/cenlab/research/ongoing-projects/ff) project.
+    His research included computational modeling of functional MRI in the unraveling of long-term
+    neuropsychological effects following a SARS-CoV-2 infection.
+    He is now fulfilling his civil service with the Axon Lab in an initiative to evaluate
+    the reliability of the clinical MRI workflow that routinely aids medical decision at CHUV.
+  links:
+    - '[Google Scholar](https://scholar.google.ch/citations?user=8ei7r00AAAAJ&hl)'
+    - '[ORCID](https://orcid.org/0000-0002-1910-9650)'

_data/team_members.yml

@@ -27,80 +27,3 @@
     - '[Google Scholar](https://scholar.google.ch/citations?user=sipSQH8AAAAJ&hl=en)'
     - '[ORCID](https://orcid.org/0000-0001-8435-6191)'
     - '[Publons](https://publons.com/researcher/311253)'
-
-- name: Céline Provins
-  photo: provins.png
-  email: celine.provins@unil.ch
-  title: Research Engineer (2021 - currently)
-  education:
-    - Ph.D. in Neuroscience (2021 - 2025) University of Lausanne (Lausanne, Switzerland)
-    - 6 months research visit in Stanford University (CA, US)
-    - M.Sc. (2018-2020) EPFL (Lausanne, Switzerland)
-    - 1 year exchange Uppsala University (Sweden)
-    - B.Sc. (2015-2017) EPFL (Lausanne, Switzerland)
-  bio: |
-    Throughout her PhD, Céline focused on characterizing and improving the reliability of brain connectivity estimates 
-      by addressing key sources of variability in MRI-based measurements. 
-    To mitigate the impact of methodological flexibility in neuroimaging pipelines, she contributed to standardizing 
-      quality assurance and quality control (QA/QC) procedures by developing a comprehensive QA/QC protocol that can be 
-      easily reused and adapted to other project needs. 
-    She also helped enhance MRIQC and fMRIPrep, widely used tools that standardize image preprocessing. 
-    Additionally, she investigated the impact of defacing on perceived image quality, demonstrating that QC procedures 
-      should ideally be performed before defacing to prevent biased assessments.
-
-    Céline also co-led the acquisition of the Human Connectome Phantom (HCPh) dataset, a large-scale initiative designed to 
-      systematically assess the reliability of functional and structural connectivity. 
-    By repeatedly scanning a single individual across multiple scanners, the dataset provides a unique opportunity to 
-      disentangle between-scanner and within-scanner variability in both functional and diffusion MRI. 
-    It also serves as a valuable resource for developing improved methods to remove non-neural signal fluctuations in fMRI.
-
-    Now, as a Research Engineer, Céline is finalizing the analysis of the HCPh dataset and preparing it for public 
-      sharing, further supporting the lab’s efforts to promote open science and reproducibility in MRI research. 
-
-  links:
-    - '[Google Scholar](https://scholar.google.com/citations?user=sXWWF2MAAAAJ=en)'
-    - '[ORCID](https://orcid.org/0000-0002-1668-9629)'
-
-- name: Elodie Savary
-  photo: photo_esavary300x300.png
-  email: elodie.savary@outlook.com
-  title: Scientific software developer 
-  education:
-    - PhD. (2022) EPFL (Lausanne, Switzerland)
-    - M.Sc. (2018) EPFL (Lausanne, Switzerland)
-    - B.Sc. (2016) EPFL (Lausanne, Switzerland)
-  bio: |
-    My background is in Astrophysics. During my PhD, I developed deep-learning tools to classify, segment and generate images.
-    In addition to a machine learning core, my PhD research involved a substantial amount of image processing.
-    In The AxonLab, I contribute to implementing preprocessing tools under the umbrella of the [*NiPreps* ecosystem](https://nipreps.org) to improve computational reproducibility and reduce methodological variability in MRI research.
-    In addition to this, I am strongly committed to promoting open science.
-
-  links:
-    - '[Google Scholar](https://scholar.google.com/citations?user=2eOoXSoAAAAJ&hl=en)'
-    - '[ORCID](https://orcid.org/0000-0002-3896-6906)'
-
-- name: Alexandre Cionca
-  photo: acionca.jpeg
-  email: alexandre.cionca@gmail.com
-  title: Research assistant 
-  education:
-    - Research engineer (2021-2023) UNIGE & HUG (Geneva, Switzerland)
-    - M.Sc. (2018-2020) EPFL (Lausanne, Switzerland)
-    - B.Sc. (2014-2017) EPFL (Lausanne, Switzerland)
-
-  bio: |
-    Alexandre Cionca is a research assistant in the Department of Radiology at the University Hospital of
-    Lausanne (CHUV).
-    He graduated from EPFL with a specialization in Computational Science and Engineering (CSE).
-    He focused his studies on data science and statistical learning applied to the neuroimaging field.
-    He then joined the Clinical and Experimental Neuropsychology lab ([CENLab](https://cenlab.ch)) at the
-    University of Geneva, where he worked on all-around data processing and analysis for the
-    [COVID-COG](https://unige.ch/fapse/cenlab/research/ongoing-projects/ff) project.
-    His research included computational modeling of functional MRI in the unraveling of long-term
-    neuropsychological effects following a SARS-CoV-2 infection.
-    He is now fulfilling his civil service with the Axon Lab in an initiative to evaluate
-    the reliability of the clinical MRI workflow that routinely aids medical decision at CHUV.
-
-  links:
-    - '[Google Scholar](https://scholar.google.ch/citations?user=8ei7r00AAAAJ&hl)'
-    - '[ORCID](https://orcid.org/0000-0002-1910-9650)'

_pages/team.md

@@ -51,9 +51,63 @@ Jump to [staff](#staff), [master and bachelor students](#master-and-bachelor-stu
 </div>
 </div>
 
-{% if member.bio %}
-<p><small>{{ member.bio }}</small></p>
+{% if member.education %}
+<ul style="overflow: hidden">
+{% for edu_item in member.education %}
+<li> {{ edu_item }} </li>
+{% endfor %}
+</ul>
+{% endif %}
+</div>
+
+{% assign number_printed = number_printed | plus: 1 %}
+
+{% if even_odd == 1 %}
+</div>
+{% endif %}
+
+{% endfor %}
+
+{% assign even_odd = number_printed | modulo: 2 %}
+{% if even_odd == 1 %}
+</div>
+{% endif %}
+
+## Our alumni
+
+{% assign number_printed = 0 %}
+{% for member in site.data.alumni_members %}
+
+{% assign even_odd = number_printed | modulo: 2 %}
+
+{% if even_odd == 0 %}
+<div class="row">
+{% endif %}
+
+<div class="col-sm-6 clearfix">
+
+<!-- Card -->
+<div class="card mb-3 border-0">
+<div class="row g-0">
+<div class="col-md-4">
+<img src="{{ site.url }}{{ site.baseurl }}/images/teampic/{{ member.photo }}" class="img-fluid rounded-start" alt="{{ member.name }}">
+</div>
+<div class="col-md-8">
+<div class="card-body">
+<h5 class="card-title">{{ member.name }}</h5>
+{% if member.title %}
+<h6 class="card-subtitle mb-2 text-muted">{{ member.title }}</h6>
+{% endif %}
+{% if member.email %}
+<p class="card-text">email: <{{ member.email }}></p>
 {% endif %}
+{% if member.links %}
+<p class="card-text"><small>{% for link in member.links %}{{ link }}{% unless forloop.last %} | {% endunless %}{% endfor %}</small></p>
+{% endif %}
+</div>
+</div>
+</div>
+</div>
 
 {% if member.education %}
 <ul style="overflow: hidden">