Jean-Sébastien Senécal, Université du Québec à Montréal

Research

reinforcement learning machine learning artificial intelligence audiovisual performance virtual reality robotic art digital art ethnography of practice

Latest funding

REGEN : co-création de dispositifs artistiques technologiques adaptatifs et régénératifs en dialogue avec les milieux végétaux
SSHRC · 2025 · Co-investigator
$65,063
Reshaping Real--time Digital Art Practices with Reinforcement Learning Technologies: A Reflexive and Ethnographic Research--Creation Study
SSHRC · 2022 · Principal investigator
$38,526
Reshaping Real--time Digital Art Practices with Reinforcement Learning Technologies: A Reflexive and Ethnographic Research--Creation Study
SSHRC · 2022 · Principal investigator
$34,473

All 3 grants and awards

REGEN : co-création de dispositifs artistiques technologiques adaptatifs et régénératifs en dialogue avec les milieux végétaux

Co-investigatorSSHRC2025Insight Grants

Principal investigators: Jarry, Alice

Keywords: Recherche-création; Pratiques écoresponsables; Régénération végétale; Imaginaires sociotechniques; Biodesign; Design régénératif; Biomatériaux; Robotique déformable; Apprentissage par renforcement; Technologies créatives; Méthodes réflexives; Ethnographie

$65,063

Reshaping Real--time Digital Art Practices with Reinforcement Learning Technologies: A Reflexive and Ethnographic Research--Creation Study

Principal investigatorSSHRC2022Insight Development Grant

Principal investigators: Senécal, Jean-Sébastien

Keywords: reinforcement learning; machine learning; artificial intelligence; audiovisual performance; virtual reality; robotic art; digital art; ethnography of practice

$38,526

Reshaping Real--time Digital Art Practices with Reinforcement Learning Technologies: A Reflexive and Ethnographic Research--Creation Study

Principal investigatorSSHRC2022Insight Development Grant

Principal investigators: Senécal, Jean-Sébastien

Keywords: reinforcement learning; machine learning; artificial intelligence; audiovisual performance; virtual reality; robotic art; digital art; ethnography of practice

$34,473

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

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Applying for

Mention their SSHRC grant from 2022

Subject: Prospective PhD student: reinforcement learning Dear Professor Senécal, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. Your research on reinforcement learning connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your SSHRC-funded project "Reshaping Real--time Digital Art Practices with Reinforcement Learning Technologies: A Reflexive and Ethnographic Research--Creation Study" (2022), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]