CV

Research experiences

Since Nov. 2018

CNRS Researcher scientist, Empenn team, IRISA UMR 6074, Rennes, France.

  • Connectome-based predictive modeling
  • Keywords: Graph theory, functional and structural connectivity

Apr. 2017 – Nov. 2018

Post-doctorate,“Diffusion analysis in depression”

  Univ Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, VISAGES  team, Rennes, France.

  • Supervisor: Dr. Christian Barillot.
  • Keywords: Graph theory, functional and structural connectivity

Apr. 2014 – Apr. 2017

Post-doctorate“Analysis of resting-state fMRI in sickle cell disease”

Children’s Hospital of Los Angeles, University of Southern California, USA.

  • Supervisors: Dr. John WOOD and Dr. Natasha LEPORE.
  • Keywords: functional connectivity, functional magnetic resonance imaging (resting state),  graph theory  and statistical analysis (sparse modeling, learning method).

2013

  Post-doctorat scientist in “Methods of source localization for EEG and MEG”

Inserm, LTSI (Signal and Image Processing Laboratory), University of Rennes 1, France.

  • Supervisors: Dr. Laurent ALBERA, Dr. Isabelle MERLET and Pr. Fabrice WENDLING.
  • Keywords: source localization, inverse problem, sparcity and electroencephalography.

2009 – 2012

  PhD in Signal Processing, “Line search and trust region strategies for canonical decomposition of seminonnegative semi-symmetric tensors”

Inserm, LTSI (Signal and Image Processing Laboratory), University of Rennes 1, France.

  • Supervisors: Dr. Laurent Albera and Pr. Lotfi Senhadji.
  • Keywords: numerical analysis (tensor and matrix decomposition), signal processing (independent component analysis and blind source separation), statistical analysis and data mining (reduction of dimension, compression, machine learning, classification).

Teaching

Since 2018

Signal and Image processing and artificial intelligence courses..

A COMPLETER

2014 – 2017

Co-supervising students in PhD and Master’s degree

• Yaqiong Chai (2014-2017): « An experimental investigation of labeling efficiency for pseudo-continuous arterial spin labeling. »
• Yeun Kim (2014-2015, 1 year): « Contrasting resting-state fMRI abnormamities from sickle and non-sickle anemia. »
• Chau Vu (2015-2016, 1 year): « Regional changes in cerebral perfusion in response to hypoxic challenge in anemic patients. »
• Shayan Farzad (2015-2017, 2 years) : « Quantification de la tortuosité vasculaire chez les patients anémiques. »
• Jacob Antony (2016, 6 months) : « Analysis of fiber density in sickle cell disease. »
• Hanzhuo Tan (2016, 6 months) : « The effects of inattention and hyperactivity-impulsivity symptoms on functional connectivity in adolescents. »
• Daniela Sacchetto (2016, 3 months) : « Development of preprocessing pipeline for diffusion MRI. »

2009 – 2013

Mathematics teacher (192 hours)

Mathematics and signal processing

Other activities

Co-organisation of Brainhack Rennes 2018 (April 2018, Rennes, France), an open science hackathon part of Brainhack global.

Reviewer for Signal processing (Elsevier), International Symposium on Medical Information Processing and Analysis (SIPAIM, 2015, 2016 and 2018) and IEEE International Symposium on Biomedical Imaging (ISBI).

Skills

  • Mathematics: numerical analysis and optimization.
  • Signal processing: independent component analysis, blind source separation, localisation de sources and functional connectivity.
  • Biomedical applications: spectroscopy, radiation therapy, EEG, fMRI.
  • Langages: C, C++, Python, Matlab, LateX and Mathematica.
  • Softwares: FSL, AFNI, Paraview and Slicer.