Gael Varoquaux - Curriculum Vitae#

“H-index” of approximately 87, cited over 180,000 times on Google Scholar.

Gael Varoquaux' publications appear in some of the best venues of machine learning, medical imaging, neurosciences, and medecine.

Positions

• 2022-to Present, Inria, Head of the Soda team
  
  • 4 faculty researchers, 25 people total
    
  • Machine learning for health and social sciences
    
• 2019-2020 McGill University and MILA (Montréal), invited professor
  
  • Neurosurgery department : brain imaging & mental health ; MILA : machine learning.
    
• 2019-today Inria, Research Director
  
  • Machine learning for health and social sciences.
    
• 2011-2019 Inria, Research faculty (chargé de recherche)
  
  • Machine learning for brain imaging, psychology, and mental health
    
• 2010-2011 INSERM, French National health Sciences Organization, Post-doc
  
  • Prediction of mental deficits due to stroke
    
• 2008-2010 Inria, Post-doc
  
  • Unsupervised learning to model the brain resting state.
    
• Summer 2008 UC Berkeley, software engineer Brain Imaging Center and Enthougt Inc, Austin Texas, scientific software consultant
  • Data processing and visualization (mostly for the oil industry)
    
• Autumn 2007–Spring 2008 LENS (European Laboratory for Non-linear Spectroscopy), Florence
  
  • Atomic physics post-doc

Achievements and Responsibilities in Service to the Technical Community

• Director of the scikit-learn consortium Scikit-learn is one of the most used machine-learning tools, with more than 2 000 contributors and 1 million monthly users.
  
• Started the Scikit project in 2010, and has been contributing ever since. He also manages the user community and its relations with industry.
  
• MOOC machine learning with scikit-learn; he directed the creation of a MOOC to teach every engineer the practice of machine learning and provide the needed intuitive understanding.

Editorial Responsibilities

Current: Senior Program Committee IJCAI, Area chair NeurIPS, Program comittee ICML, AISTATS, AAAI, Editor Machine Learning Journal

Other editorial and collective responsibilities:

• Program chair, IEEE Pattern Recognition in NeuroImaging 2013, Editor of E-life (high-impact biology journal), Editor of NeuroImage.
  
• Evaluation Panel ANR (Agence National de la recherche) 2016 on Data, Knowledge, Big data, Multimedia, Artificial Intelligence

Technical Recognition and Awards

• Highly-cited researcher 2021-present
  
• Académie des Sciences Prize for Transfer (Prix du Transfert) 2019, the French National Academy of Science.
  
• François Erbsmann Prize Honorable mention, 2013. The most prestigious award in medical imaging.
  
• Nominated member of the Python Software Foundation
  
• FOSS India Award 2008 shared with Prabhu Ramachandran, for Mayavi