About

About me

I am presently a Ph.D. student at Université de Sherbrooke in the Computer Science department. My research focuses on machine learning for information retrieval applied to neuroimaging. The goal is to better understand neurodegenerative diseases development and to provide essential tools for neurosurgeons and neurologists. Finally, I obtained both my M.Sc. in Computer Science and B.Sc. in Computer Science at Université de Sherbrooke.

My Ph.D.

Since the beginning of the Internet, new contents are being continuously created. The rate at which pictures and videos are uploaded to web servers is exponential, especially during the last couple of years as smartphone's users grows. Finding something in that ocean of information is a major problem. That is why I am developing new machine learning algorithms that learns structured features from the data. The structure in thoses features allows to perform faster information retrieval. One application of my research focuses on applying theses techniques for group analysis in neuroimaging.

My advisors are Pr Hugo Larochelle and Pr Maxime Descoteaux.

For more information about my work, see my papers and my projects.

My Master

There is two types of nervous tissue: gray matter and white matter. The white matter is composed of fibers grouped as bundles. Those bundles are used to send and to receive nerve impulses between functional regions of the brain. Since recent breakthroughs in diffusion magnetic resonance imaging (dMRI), tractography algorithms are able to extract millions of fibers out of a brain. Studying brain connectivity is important because it helps to better understand neurodegenerative diseases development and to provide essential tools for neurosurgerians and neurophysicians. Prensently, fibers clustering is mainly a manual task using vizualisation tools to achieves it, but what I am proposing is the automatisation of that process.

The aim of my master research is to cluster white matter fibers. Moreover, my work is to find an efficient representation that contains own details of a fiber. After that, convert those details into string and use string matching algorithms to calculate a similarity metric between fibers.

For more information about my work, see my papers and my projects.

Education

[2012-]

Ph.D. en informatique

Université de Sherbrooke

[2010-2012]

M.Sc. en informatique

Université de Sherbrooke

[2007-2010]

B.Sc. en informatique

Université de Sherbrooke

[2004-2007]

Tech. en informatique

Cégep Saint-Jean-sur-Richelieu


For more informations, see my projects.

Awards

[2012-2015]

NSERC

Université de Sherbrooke

[2011]

NSERC

Université de Sherbrooke

[2010]

FQRNT

Université de Sherbrooke

[2010]

Mention d'excellence facultaire

Université de Sherbrooke

[2008]

Mention d'excellence facultaire

Université de Sherbrooke

[2007]

Bourse d'admission en sciences

Université de Sherbrooke

Hobbies

My research interests are machine learning, neural network, shape recognition, data mining, artificial intelligence, image analysis (especially medical image analysis), etc. Presently, I'm interesting in white matter fibers clustering.

As a hobby, I like wall climbing, to play soccer, cycling and outdoor activities.

Contact

Phone 819-821-8000 #66504
Email
Office D4-2017-1
Address Faculté des Sciences - Département d'Informatique
2500 boulevard de l'Université
Sherbrooke, Québec
Canada, J1K 2R1