CV
Experience
- 2024-now: Adjunct Professor in Machine Learning, Paris-Saclay University, France
- 2008-now: GAIA Lab., NeuroSpin dept., CEA, Paris-Saclay University, France
- 2024: Head of GAIA Laboratory
- 2021: Research Director
- 2018: Leader of team “Signatures of brain disorders”
- 2008: Research Scientist
- 2005-2008: R&D Engineer in the INSERM Research Unit -“Neuroimaging and Psychiatry”, Orsay, France
- 2003-2004: Postdoctoral position at CEA, Orsay, France
- 2002: Software Engineer at MBD.A (Matra BAe Dynamics) Velizy, contract for ASTEK company, France
- 2001-2002: Teaching and Research Assistant at Rennes 1 University, France
Education
- 2020: Habilitation (for full professorship) in machine learning applied to neuroimaging (pdf). Paris-Saclay University, France.
- 1999-2001: Ph.D. in Image Processing at LTSI (laboratory of signal and image processing). Rennes 1 University, France.
- 1997-1998: Master’s degree in Signal/Image Processing. Rennes 1 University, France.
- 1994-1997: Master’s degree in Software Engineering. École Pour l’Informatique et les Techniques Avancées (EPITA), Kremlin Bicêtre, France.
Bio (IEEE style)
Edouard Duchesnay is a research director in data science at NeuroSpin, CEA, Paris-Saclay University, France. Since 2003, he has been designing machine learning models to discover brain imaging signatures of mental disorders. He explored dimension reduction and regularization strategies to overcome the “curse of dimensionality” caused by many neuroimaging measurements. In 2019, he obtained a chair in Artificial Intelligence to develop transfer learning algorithms to bridge the gap between big (heterogeneous) and small (homogeneous) datasets. He received his Ph.D. in 2001 and M.S. in 1998 in signal and image processing from Rennes 1 University (France). In 1997, he received his M.S. degree in software engineering from École Pour l’Informatique et les Techniques Avancées (France).