Christopher Pal, Université de Montréal

Research

Read how they describe their research on their Université de Montréal profile.

Intelligence artificielle Vision par ordinateur Reconnaissance de formes Apprentissage automatique Infographie Traitement automatique du langage naturel (TALN)

Latest papers

Mem-$π$: Adaptive Memory through Learning When and What to Generate
arXiv (Cornell University) · 2026
Lacuna: A Research Map for Machine Learning
arXiv (Cornell University) · 2026
MOOZY: A Patient-First Foundation Model for Computational Pathology
arXiv (Cornell University) · 2026

All 337 publications

Latest funding

Arch[AI]ve: Building an AI-Assisted Tool for Conserving and Curating Orphan Films
SSHRC · 2025 · Co-investigator
$367,977
From Perception and Learning to Understanding and Action
NSERC · 2020 · Principal investigator
$240,000
NSERC industrial research chair (IRC) on deep AI for multimedia and assistive technology
NSERC · 2017 · Principal investigator
$250,766

All 19 grants and awards

From the 150 most recent of 337 publications.

01

Mem-$π$: Adaptive Memory through Learning When and What to Generate

Xiaoqiang Wang, Chao Wang, Hadi Nekoei, Christopher Pal, Alexandre Lacoste, Spandana Gella, Bang Liu, Perouz Taslakian

arXiv (Cornell University)2026Open Access

02

Lacuna: A Research Map for Machine Learning

Martin Weiss, Miles Q. Li, Alejandro H. Artiles, Yacine Mkhinini, Chris Pal, Hugo Larochelle, Nasim Rahaman

arXiv (Cornell University)2026Open Access

DOI: 10.48550/arxiv.2606.26246

03

MOOZY: A Patient-First Foundation Model for Computational Pathology

Yousef Kotp, Vincent Quoc‐Huy Trinh, Christopher Pal, Mahdi S. Hosseini

arXiv (Cornell University)2026Open Access

04

Lacuna: A Research Map for Machine Learning

Martin Weiss, Miles Q. Li, Alejandro H. Artiles, Yacine Mkhinini, Chris Pal, Hugo Larochelle, Nasim Rahaman

arXiv (Cornell University)2026Open Access

05

MOOZY: A Patient-First Foundation Model for Computational Pathology

Yousef Kotp, Vincent Quoc‐Huy Trinh, Christopher Pal, Mahdi S. Hosseini

Lecture notes in computer science2026Open Access

DOI: 10.1007/978-3-032-37359-5_26

06

Scaling Self-Play for End-to-End Driving

Luke Rowe, Roger Girgis, Rodrigue de Schaetzen, Daphne Cornelisse, Alaap Grandhi, Felix Heide, Eugene Vinitsky, Christopher Pal, Liam Paull

arXiv (Cornell University)2026Open Access

07

Rotate2Think: Geometric Priming via Orthogonal Rotation to Improve Language Model Reasoning

Aditya Sharma, Christopher Pal, Amal Zouaq

arXiv (Cornell University)2026Open Access

08

Reconciling Cross-Scale Discrepancies in CO₂ Fluxes. Preliminary Findings from the BenchFlux Project

Emma Izquierdo-Verdiguier, Álvaro Moreno-Martínez, Paul Stoy, Oliver Sonnentag, Chris Pal, Yanghui Kang, Trevor F. Keenan, Ankur R. Desai, Stefan Metzger, Matthew Fortier, Maoya Bassiouni, Sadegh Ranjbar, Samuel Bower, Sophie Hoffman, Danielle Losos, Jingfeng Xiao

2026Open Access

DOI: 10.5194/egusphere-egu26-10567

09

Rotate2Think: Geometric Priming via Orthogonal Rotation to Improve Language Model Reasoning

Aditya Sharma, Christopher Pal, Amal Zouaq

arXiv (Cornell University)2026Open Access

DOI: 10.48550/arxiv.2606.09873

10

Mem-$π$: Adaptive Memory through Learning When and What to Generate

Xiaoqiang Wang, Chao Wang, Hadi Nekoei, Christopher Pal, Alexandre Lacoste, Spandana Gella, Bang Liu, Perouz Taslakian

arXiv (Cornell University)2026Open Access

DOI: 10.48550/arxiv.2605.21463

Arch[AI]ve: Building an AI-Assisted Tool for Conserving and Curating Orphan Films

Co-investigatorSSHRC2025Insight Grants

Principal investigators: McFalls, Laurence

$367,977

From Perception and Learning to Understanding and Action

Principal investigatorNSERC2020Discovery Grants Program - Individual

Principal investigators: Pal, Christopher

Keywords: deep learning; perception; natural language processing; simulation; robotics

$240,000

NSERC industrial research chair (IRC) on deep AI for multimedia and assistive technology

Principal investigatorNSERC2017Industrial Research Chairs

Principal investigators: Pal, Christopher

$250,766

NSERC industrial research chair (IRC) on deep AI for multimedia and assistive technology

Principal investigatorNSERC2017Industrial Research Chairs

Principal investigators: Pal, Christopher

$5,450

Infrastructure to curb atherosclerosis through precision medicine

Co-investigatorCFI2017Innovation Fund: Innovation Fund 2017

Principal investigators: Tardif, Jean-Claude

Keywords: Atherosclerosis, genetic segmentation and drug determinants, precision medicine, pharmacogenomics, metabolomics, microbiomics, Deep learning data analysis High throughput PGx, microbiome DNA extraction, GLP metabolomics, Deep Learning

$4,975,674

High-performance computing environment to leverage deep learning technology for large biomedical and neuroimaging data

Co-investigatorNSERC2016Research Tools and Instruments

Principal investigators: Bengio, Yoshua

$135,005

Software Infrastructure for Deep Learning

Co-investigatorCFI2016Cyberinfrastructure Initiative: Cyberinfrastructure Initiative - Challenge 1 - Competition 1

Principal investigators: Bengio, Yoshua

Keywords: machine learning, deep learning, artificial intelligence, medicine GPUs, high-level language, automatic differentiation,deep learning library

$2,000,000

NSERC COHESA: Computing Hardware for Emerging Intelligent Sensory Applications

Co-investigatorNSERC2015Strategic Network Grants Program

Principal investigators: Moshovos, Andreas AM

$5,500,000

Deep learning for cognitive computing

Co-investigatorNSERC2015Collaborative Research and Development Grants

Principal investigators: Bengio, Yoshua

$410,000

Big Data Processing and Analytics - Mining Noisy Visual Data and Learning Transferrable Predictive Models

Principal investigatorNSERC2014Discovery Grants Program - Individual

Principal investigators: Pal, Christopher

$234,000

From public funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998 with their latest competition results, the Canada Foundation for Innovation, Genome Canada, the Canadian Space Agency, Canada Research Chairs, the Fonds de recherche du Québec, Ontario research funding, Michael Smith Health Research BC, the Canadian Cancer Society, Heart & Stroke and Brain Canada.

Frequent collaborators

Aaron Courville and Yoshua Bengio: 115 shared papers
Samira Ebrahimi-Kahou and Samira Kahou: 108 shared papers
An Tang and Samuel Kadoury: 45 shared papers
Doina Precup and Joelle Pineau: 42 shared papers
Yoshua Bengio and Christopher Pal: 33 shared papers
Aaron Courville and Christopher Pal: 22 shared papers
Joelle Pineau and Yoshua Bengio: 19 shared papers
Samira Ebrahimi-Kahou and Christopher Pal: 18 shared papers
Samira Kahou and Christopher Pal: 18 shared papers
Derek Nowrouzezahrai and Christopher Pal: 15 shared papers
Samira Ebrahimi-Kahou and Yoshua Bengio: 15 shared papers
Joelle Pineau and Laurent Charlin: 15 shared papers
Yoshua Bengio and Samira Kahou: 15 shared papers
Yoshua Bengio and Tegan Maharaj: 15 shared papers
Samuel Kadoury and Christopher Pal: 13 shared papers
Doina Precup and Yoshua Bengio: 13 shared papers
Joelle Pineau and Aaron Courville: 13 shared papers
Derek Nowrouzezahrai and Samira Ebrahimi-Kahou: 10 shared papers
Derek Nowrouzezahrai and Samira Kahou: 10 shared papers
Yoshua Bengio and Laurent Charlin: 10 shared papers
Tegan Maharaj and Christopher Pal: 9 shared papers
An Tang and Christopher Pal: 8 shared papers
Siva Reddy and Aaron Courville: 8 shared papers
Siva Reddy and Christopher Pal: 8 shared papers
Marco Pedersoli and Christopher Pal: 8 shared papers
Liam Paull and Christopher Pal: 8 shared papers
Laurent Charlin and Christopher Pal: 8 shared papers
Irina Rish and Yoshua Bengio: 7 shared papers
Doina Precup and Samira Ebrahimi-Kahou: 6 shared papers
Liam Paull and Yoshua Bengio: 6 shared papers
Aaron Courville and Tegan Maharaj: 6 shared papers
David Buckeridge and Doina Precup: 5 shared papers
Irina Rish and Laurent Charlin: 5 shared papers
Derek Nowrouzezahrai and Liam Paull: 5 shared papers
Amal Zouaq and Christopher Pal: 5 shared papers
Adam Oberman and Christopher Pal: 5 shared papers
Joelle Pineau and Christopher Pal: 5 shared papers
Doina Precup and Christopher Pal: 4 shared papers
Siva Reddy and Aishwarya Agrawal: 4 shared papers
Irina Rish and Tegan Maharaj: 4 shared papers
Brendan Frey and Christopher Pal: 4 shared papers
Xue Liu and Christopher Pal: 4 shared papers
Yoshua Bengio and Glen Berseth: 4 shared papers
David Buckeridge and Yoshua Bengio: 3 shared papers
David Buckeridge and Christopher Pal: 3 shared papers
Irina Rish and Glen Berseth: 3 shared papers
Irina Rish and Christopher Pal: 3 shared papers
Gilles Pesant and Christopher Pal: 3 shared papers
Pierre-Marc Jodoin and Christopher Pal: 3 shared papers
Glen Berseth and Christopher Pal: 3 shared papers
An Tang and Yoshua Bengio: 2 shared papers
Samuel Kadoury and Yoshua Bengio: 2 shared papers
Aishwarya Agrawal and Christopher Pal: 2 shared papers
Siva Reddy and Marco Pedersoli: 1 shared paper
Gilles Pesant and Amal Zouaq: 1 shared paper
Marco Pedersoli and Yoshua Bengio: 1 shared paper
Adam Oberman and Yoshua Bengio: 1 shared paper
Aaron Courville and Pierre-Marc Jodoin: 1 shared paper
Pierre-Marc Jodoin and Yoshua Bengio: 1 shared paper

Département d’informatique et de recherche opérationnelle
McGill School Of Computer Science
Département de radiologie, radio-oncologie et médecine nucléaire
Département de génie logiciel et TI
Department of Electrical and Computer Engineering
Département de sciences de la décision
Département de génie des systèmes
Other

Co-authors at Université de Montréal, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.

Yoshua Bengio

Département d’informatique et de recherche opérationnelle

33 shared papers, latest 2025

Aaron Courville

Département d’informatique et de recherche opérationnelle

22 shared papers, latest 2020

Samira Ebrahimi-Kahou

Département de génie logiciel et TI

18 shared papers, latest 2022

Samira Kahou

McGill School Of Computer Science

18 shared papers, latest 2022

Derek Nowrouzezahrai

Department of Electrical and Computer Engineering

15 shared papers, latest 2025

Samuel Kadoury

Département de radiologie, radio-oncologie et médecine nucléaire

13 shared papers, latest 2022

Tegan Maharaj

Département de sciences de la décision

9 shared papers, latest 2021

Siva Reddy

Department of Linguistics

8 shared papers, latest 2025

An Tang

Département de radiologie, radio-oncologie et médecine nucléaire

8 shared papers, latest 2022

Liam Paull

Département d’informatique et de recherche opérationnelle

8 shared papers, latest 2026

Laurent Charlin

Département d’informatique et de recherche opérationnelle

8 shared papers, latest 2025

Marco Pedersoli

Département de génie des systèmes

8 shared papers, latest 2025

Adam Oberman

Department of Mathematics and Statistics

5 shared papers, latest 2024

Amal Zouaq

School of Electrical Engineering and Computer Science

5 shared papers, latest 2026

Joelle Pineau

McGill School Of Computer Science

5 shared papers, latest 2020

Brendan Frey

Head Office

4 shared papers, latest 2003

Xue Liu

McGill School Of Computer Science

4 shared papers, latest 2024

Doina Precup

Centre for Intelligent Machines

4 shared papers, latest 2019

David Buckeridge

Epidemiology, Biostatistics and Occupational Health

3 shared papers, latest 2023

Irina Rish

Département d’informatique et de recherche opérationnelle

3 shared papers, latest 2024

Simon Turcotte

Département de chirurgie

2 shared papers, latest 2019

David Roy

Département de pathologie et microbiologie

1 shared papers, latest 2017

Guillaume Bilodeau

Sciences et génie

1 shared papers, latest 2011

Write to this professor

A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.

Applying for

Paper to mentionMention their NSERC grant from 2020

Subject: Prospective PhD student: Intelligence artificielle Dear Professor Pal, 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 "Mem-$π$: Adaptive Memory through Learning When and What to Generate" (2026), 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 NSERC-funded project "From Perception and Learning to Understanding and Action" (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]