Joelle Pineau, Université de Montréal

Research

Artificial Intelligence Big Data Clinical Trajectories Diagnostic Decision Support Disease Phenotyping Epidemiology Health System Operationalization Machine Learning

Latest papers

A flexible machine learning Mendelian randomization estimator applied to predict the safety and efficacy of sclerostin inhibition.
American journal of human genetics · 2025 · senior author
Biomedical Research and Informatics Living Laboratory for Innovative Advances of New Technologies in Community Mobility Rehabilitation: Protocol for Evaluation and Rehabilitation of Mobility Across Continuums of Care.
JMIR research protocols · 2022
Transparency and reproducibility in artificial intelligence.
Nature · 2020

All 13 publications

Latest funding

Leveraging drug target Mendelian randomization to predict the effect of lipoprotein(a) inhibition
CIHR · 2022 · Supervisor
$135,000
CODA-19: a Collaborative Data Analysis Platform to Improve Clinical Care in Patients with COVID-19
CIHR · 2020 · Principal investigator
$937,950
Adaptive stimulation strategies for the treatment of epileptic syndromes in vivo
CIHR · 2009 · Nominated PI
$180,000

All 3 grants and awards

13 publications.

01

A flexible machine learning Mendelian randomization estimator applied to predict the safety and efficacy of sclerostin inhibition.

Legault MA, Hartford J, Arsenault BJ, Yang AY, Pineau J

American journal of human genetics2025Senior author

DOI: 10.1016/j.ajhg.2025.04.010 PMID: 40378846

02

Biomedical Research and Informatics Living Laboratory for Innovative Advances of New Technologies in Community Mobility Rehabilitation: Protocol for Evaluation and Rehabilitation of Mobility Across Continuums of Care.

Ahmed S, Archambault P, Auger C, Durand A, Fung J, Kehayia E, Lamontagne A, Majnemer A, Nadeau S, Pineau J, Ptito A, Swaine B

JMIR research protocols2022

DOI: 10.2196/12506 PMID: 35648455

03

Transparency and reproducibility in artificial intelligence.

Haibe-Kains B, Adam GA, Hosny A, Khodakarami F, Massive Analysis Quality Control (MAQC) Society Board of Directors, Waldron L, Wang B, McIntosh C, Goldenberg A, Kundaje A, Greene CS, Broderick T, Hoffman MM, Leek JT, Korthauer K, Huber W, Brazma A, Pineau J, Tibshirani R, Hastie T, Ioannidis JPA, Quackenbush J, Aerts HJWL

Nature2020

DOI: 10.1038/s41586-020-2766-y PMID: 33057217

04

Adaptive control of epileptiform excitability in an in vitro model of limbic seizures.

Panuccio G, Guez A, Vincent R, Avoli M, Pineau J

Experimental neurology2013Senior author

DOI: 10.1016/j.expneurol.2013.01.002 PMID: 23313899

05

A bistable computational model of recurring epileptiform activity as observed in rodent slice preparations.

Vincent RD, Courville A, Pineau J

Neural networks : the official journal of the International Neural Network Society2011Senior author

DOI: 10.1016/j.neunet.2011.03.003 PMID: 21444193

06

Informing sequential clinical decision-making through reinforcement learning: an empirical study.

Shortreed SM, Laber E, Lizotte DJ, Stroup TS, Pineau J, Murphy SA

Machine learning2011

DOI: 10.1007/s10994-010-5229-0 PMID: 21799585

07

Mobility profile and wheelchair driving skills of powered wheelchair users: sensor-based event recognition using a support vector machine classifier.

Moghaddam AK, Pineau J, Frank J, Archambault P, Routhier F, Audet T, Polgar J, Michaud F, Boissy P

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference2011

DOI: 10.1109/iembs.2011.6091711 PMID: 22256033

08

Treating epilepsy via adaptive neurostimulation: a reinforcement learning approach.

Pineau J, Guez A, Vincent R, Panuccio G, Avoli M

International journal of neural systems2009First author

DOI: 10.1142/s0129065709001987 PMID: 19731397

09

MDPs with Non-Deterministic Policies.

Fard MM, Pineau J

Advances in neural information processing systems2009Senior author

PMID: 21625292

10

Model-Based Bayesian Reinforcement Learning in Large Structured Domains.

Ross S, Pineau J

Uncertainty in artificial intelligence : proceedings of the ... conference. Conference on Uncertainty in Artificial Intelligence2008Senior author

PMID: 26539065

Leveraging drug target Mendelian randomization to predict the effect of lipoprotein(a) inhibition

SupervisorCIHR2022CIHR Fellowship

Principal investigators: Legault, Marc-Andre

Keywords: Cardiovascular Disease; Drug Targets; Genetics; Lipoprotein(A); Machine Learning; Mendelian Randomization

$135,000

CODA-19: a Collaborative Data Analysis Platform to Improve Clinical Care in Patients with COVID-19

Principal investigatorCIHR2020Op Gr: COVID-19 Rapid Research FO - Clinical Mgmt/Health System Interventions

Principal investigators: Chasse, Michael; Afilalo, Jonathan; Archambault, Patrick; Buckeridge, David L; Cavayas, Yiorgos Alexandros; Pineau, Joelle; Turgeon, Alexis F; Wang, Han Ting

Keywords: Artificial Intelligence; Big Data; Clinical Trajectories; Diagnostic Decision Support; Disease Phenotyping; Epidemiology; Health System Operationalization; Machine Learning; Real-World Validation

$937,950

Adaptive stimulation strategies for the treatment of epileptic syndromes in vivo

Nominated PICIHR2009Operating Grant

Principal investigators: Pineau, Joelle

Keywords: Adaptive Treatment Design; Epilepsy; Neural Systems Modeling; Therapeutic Stimulation

$180,000

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

Frequent collaborators

School of Physical and Occupational Therapy
Neurology and Neurosurgery
Medicine
Critical Care Medicine
Neurology
Family Medicine and Emergency Medicine
Radiation Oncology/Medical Physics
Other

Applying for

Paper to mentionMention their CIHR grant from 2020

Subject: Prospective PhD student: Artificial Intelligence Dear Professor Pineau, 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]. I read your paper "A flexible machine learning Mendelian randomization estimator applied to predict the safety and efficacy of sclerostin inhibition." (2025), and it 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 CIHR-funded project "CODA-19: a Collaborative Data Analysis Platform to Improve Clinical Care in Patients with COVID-19" (2020), 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]