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Vincent Beliveau
Position:
Senior Researcher
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Curriculum vitae

Curriculum vitae

Scientific interests:

My research focuses on the translation and application of state-of-the-art AI methodology to tackle problems in basic neuroimaging research and clinical practice. I am currently involved in projects targeting epilepsy and Parkinson’s disease which combine multidisciplinary expertise in computer science, neuroimaging, deep learning, and natural language processing.

Education:

2024 - Present Senior Researcher, Neurobiology Research Unit, Rigshospitalet, Denmark
2018 - 2023 Post-doc, Neurobiology Research Unit, Rigshospitalet, Denmark
2018 - Present Post-doc, Department of Neurology, Medical University of Innsbruck, Austria
2014 - 2017 PhD in Medical and Molecular Imaging, University of Copenhagen, Denmark
2010 - 2013 Masters in Neuroscience, McGill University, Canada
2006 - 2009 Bachelors in Mathematics and Computer Science, Université Laval, Canada

 

Work Experience:

2013 - 2014 Research assistant, Neurobiology Research Unit, Rigshospitalet, Denmark
2010 Research assistant, Erik Cook Lab, McGill University, Canada
2009 Research assistant, Amir Shmuel Lab, McGill University, Canada
2008 - 2010 Software developer for electrophysiology experiments, McGill University, Canada

 

Grants and Awards:

  • Tiroler Wissenschaftsförderung [F.32671/6-2021] - Establishing a fast iron-sensitive MRI sequence and automated segmentation of the substantia nigra to improve the diagnostic accuracy of Parkinson`s disease (€ 24.161,43)
  • Neuroreceptor Mapping Conference Boston 2016 - Young Investigator Award– Best poster (1st place)
  • Biennial Conference on Resting State Brain Connectivity Boston 2014 - Best poster (3rd place)
  • D. Grant – Rigshospitalets Forskningspuljer - 1-year introduction grant
  • The Lundbeck Foundation – Travel Grant for BrainPET 2019 [R315-2019-564]
  • The Lundbeck Foundation – Travel Grant for MICCAI 2017 [R267-2017-2137]
  • The Lundbeck Foundation – Travel grant for stay abroad at Neurospin, Paris [R253-2017-189]
  • Rigshospitalet Jubilæumsfond - Travel Grant for OHBM 2015 & NRM 2016

Current Teaching:

  • 2022 - Present Artificial Intelligence in Medicine: Basic Concepts, Winter 2022/23, Medical University of Innsbruck, Austria
  • 2022 - Present: Artificial Intelligence in Medicine: Deep Learning, Medical University of Innsbruck, Austria
  • 2022 - Present: Artificial Intelligence in Medicine: Scientific Programming in Python, Medical University of Innsbruck, Austria
  • 2022 - Present: Artificial Intelligence in Medicine: Wearable Technologies, Medical University of Innsbruck, Austria
  • 2022 - Present: Fundamentals of Functional Magnetic Resonance Imaging (fMRI), Medical University of Innsbruck, Austria

Past Teaching:

  • 2021: Automatized Processing of Brain MRI, Winter 2021/22, Medical University of Innsbruck, Austria
  • 2020: Clinical Neuroscience - Practical course, Winter 2020/21, Medical University of Innsbruck, Austria
  • 2014 & 2016: FreeSurfer course 2014 & 2016 - PhD course, University of Copenhagen, Denmark

Student Supervision:

  • 2024: Helene Kaas, Bachelor thesis with title “The Assessment of Selected Neural Networks’ Performances in Detecting Focal Cortical Dysplasia”, University of Copenhagen, Denmark
  • 2023: David Reydellet, MSc thesis with title “Resting-state fMRI activity elicited by administration of lysergic acid diethylamide”, Neurobiology Research Unit, Denmark
  • 2023: Jingyu Huang, MSc thesis with title “Anatomical Prior-based Segmentation of Deep Brain Nuclei using Adversarial Training”, Department of Computer Science, University of Copenhagen, Denmark
  • 2021: Avneet Kaur, MSc thesis with the title “Development of a robust and reproducible preprocessing pipeline for Positron Emission Tomography (PET) data”, Department of Computer Science, University of Copenhagen

Stays Abroad:

  • Apr - May 2017: with Gaël Varoquaux (scikit-learn, main developer) and Bertrand Thirion at NeuroSpin, France
  • Nov - Dec 2016: with Stephen Strother at Baycrest Hospital, Canada
  • May 2014: with Alexandre Rosa Franco at InsCer, Brazil

Publications:

ORCID: 0000-0001-7805-279X
Google Scholar: https://scholar.google.com/citations?user=gVwM3YIAAAAJ&hl=en