Research personnel

CRIM’s highly qualified personnel will allow you to achieve your goals. To find the person that will fulfill your specific needs, you are invited to consult our list of employees and researchers using the filter below.

Stéphane Bond

Stéphane Bond

Solution Architect
T 514 840-1235, ext. 5404

Stéphane Bond holds the position of solution architect in CRIM’s Emerging Technologies and Data Science team.

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Philippe Collard

Philippe Collard

Product Manager - Research Platforms
T 514 840-1235, ext. 8854

Philippe joined the Emerging Technologies and Data Science Team in 2013. He is an engineer by training.

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Luis Da Costa

Luis Da Costa

Senior Data Scientist
T 514 840-1235, ext. 5234

Luis Da Costa joined CRIM's Emerging Technologies and Data Science team in April 2018 as a Senior Data Scientist.

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Vincent Gingras

Vincent Gingras

Research Software Developer
T 514 840-1235, ext. 7373
Vincent Gingras joined CRIM's Emerging Technologies and Data Science team in January 2018 as a research software developer.
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Renaud Hébert-Legault

Renaud Hébert-Legault

Research Software Developer
T 514 840-1235, ext. 1447

Renaud joined the Emerging Technologies and Data Science Team in 2014 as a research software developer.

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Jean-François Héon

Jean-François Héon

Research Software Developer
T 514 840-1235, ext. 8800

Jean-François joined CRIM's Emerging Technologies and Data Science team in 2014. He holds the position of research software developer.

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Caroline Musy

Caroline Musy

Research Software Developer
T 514 840-1235, ext. 6639

Caroline Musy joined the Emerging Technologies and Data Science team in 2009.

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Jean-Philippe Nantel

Jean-Philippe Nantel

Team Director
T 514 840-1289

As director of the Emerging Technologies and Data Science Team since April 2017, Jean-Philippe Nantel seeks to develop and solidify some of the team’s specific areas of expertise, such as research platforms and data science, while closely following the development of emerging technologies such as Blockchain.

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Cédric Noiseux

Cédric Noiseux

Data Scientist
T 514 840-1235, ext. 3715

Cédric Noiseux joined the Emerging Technologies and Data Science team at CRIM in April 2018 as a data scientist.

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Jean-François Rajotte

Jean-François Rajotte

Researcher, Data Science
T 514 840-1235, ext. 1422
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Farooq Sanni

Farooq Sanni

Data Scientist
T 514-840-1235, ext. 5559

 

 

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Michel Savard

Michel Savard

Senior Data scientist
T 514 840-1235, ext. 1818

Michel joined the Emerging Technologies and Data Science Team in October 2017 as a senior data scientist.

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Martin Sotir

Martin Sotir

Data Scientist
T 514 840-1235, ext. 4441

Martin joined the Emerging Technologies and Data Science team in 2016. He holds an Engineering degree in Computer Science from the University of Technology of Compiègne. His main areas of interest are machine learning, neural networks and distributed computing.

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Anton Zakharov

Anton Zakharov

Research Software Developer
T 514 840-1235, ext. 1715

Anton joined the Emerging Technologies and Data Science team in 2013. He holds a Bachelor's degree in Computer Science Engineer from École de technologie supérieure.

 

 

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Recent news

  • Une assemblée générale et un cocktail annuel réussis!
    21/06/2018

    L'assemblée générale, présidée par M. Luc Gagnon, chef des technologies chez TELUS Santé et président du CA du CRIM, fut l'occasion de dresser un bilan des résultats dévoilés dans le rapport d'activités 2017-2018.

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Upcoming event

  • MLDM 2018
    14 July 2018 8:00
    New York, U.S.A.
    CRIM will present a paper at the 14th International Conference on Machine Learning and Data Mining (MLDM 2018) which will take place from July 14 to 19, 2018 in New York.
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  • "Accélérer l'adoption et la mise en place de solutions d'#IA par l'ensemble du tissu économique québécois" Le… https://t.co/b4qAzv9ibL
  • Prompt_Innovation RT @Prompt_Innov: Aujourd’hui, le 22 juin 2018, marque le lancement officiel du 1e appel de projets de INNOV-R! Accélérer la transition ver…

Recent Publications

  • Towards Automatic Feature Extraction for Activity Recognition from Wearable Sensors: A Deep Learning Approach

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  • État des lieux des technologies web

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