CV
Education
- Ph.D in Neuroscience, Sorbonne University, 2021 (expected)
- M.S. in Biomedical Engineering, Sorbonne University, 2017
- B.S. in Physics, Yildiz Technical University, 2010
Work experience
- 2018 - now: Researcher
- Sorbonne University, Paris Brain Institute
- Anatomo-functional organisation of subthalamic nucleus (STN) in human via diffusion Magnetic Resonance Imaging (dMRI)
- Duties included: diffusion MRI processing, machine learning
- Supervisor: Carine Karachi & Eric Bardinet
- 2017 - 2018: Research Engineer
- Sorbonne University, Paris Brain Institute
- Phantom based evaluation of geometric distortions in clinical Magnetic Resonance Imaging (MRI)
- Supervisor: Eric Bardinet
Skills
- Matlab, R, Python
- Data analysis: Machine learning algorithms
- Neuroimaging tools: MRTrix, FSL, Freesurfer, ANTs, 3D Slicer
Publications
Talks
Talk 1 on Relevant Topic in Your Field
Talk at UC San Francisco, Department of Testing, San Francisco, California
Tutorial 1 on Relevant Topic in Your Field
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk 2 on Relevant Topic in Your Field
Talk at London School of Testing, London, UK
Conference Proceeding talk 3 on Relevant Topic in Your Field
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA