diff --git a/_data/alumni_members.yml b/_data/alumni_members.yml index 2eeaef6375c..562bf3f2abd 100644 --- a/_data/alumni_members.yml +++ b/_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)' diff --git a/_data/team_members.yml b/_data/team_members.yml index 9e90a42b123..b648ce4ad97 100644 --- a/_data/team_members.yml +++ b/_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)' diff --git a/_pages/team.md b/_pages/team.md index e8c1a4c4f49..c3f4c735212 100644 --- a/_pages/team.md +++ b/_pages/team.md @@ -51,9 +51,63 @@ Jump to [staff](#staff), [master and bachelor students](#master-and-bachelor-stu -{% if member.bio %} -

{{ member.bio }}

+{% if member.education %} + +{% endif %} + + +{% assign number_printed = number_printed | plus: 1 %} + +{% if even_odd == 1 %} + +{% endif %} + +{% endfor %} + +{% assign even_odd = number_printed | modulo: 2 %} +{% if even_odd == 1 %} + +{% 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 %} +
+{% endif %} + +
+ + +
+
+
+{{ member.name }} +
+
+
+
{{ member.name }}
+{% if member.title %} +
{{ member.title }}
+{% endif %} +{% if member.email %} +

email: <{{ member.email }}>

{% endif %} +{% if member.links %} +

{% for link in member.links %}{{ link }}{% unless forloop.last %} | {% endunless %}{% endfor %}

+{% endif %} +
+
+
+
{% if member.education %}