Faculty profile

Guy Wolf

ResearcherDept. of Mathematics & StatisticsUniversité de Montréal

This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a Université de Montréal directory, so their courses may be missing. Find their university profile.

Guy Wolf

Researcher

Dept. of Mathematics & Statistics

Natural Sciences

Université de Montréal

Montreal, Quebec, Canada

Supervision signals

Has led research grants, which requires an independent research appointment. Ask their department whether they supervise graduate students.
8 publications in the last five years, latest in 2026.
Senior (last) author on 1 recent paper, a sign of leading a research group.
Principal investigator on 4 research grants (4 NSERC), most recently in 2022.

These signals come from public records, including CIHR, NSERC and SSHRC funding decisions. Ask the professor or the graduate program whether they are taking new students.

Academic metrics

Publications

Collaborators

Grants

Publications by year

Counts cover the publications linked to this profile. Citations and the h-index appear when the source records them.

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Signals and details

Research

Representation learning Data exploration Diffusion geometry Dimensionality reduction Geometric deep learning Graph signal processing Manifold learning Computer vision

Latest papers

Gaining biological insights through supervised data visualization.
Nature computational science · 2026
Sustained IFN signaling is associated with delayed development of SARS-CoV-2-specific immunity.
Nature communications · 2024
Harnessing population diversity: in search of tools of the trade.
GigaScience · 2024

All 20 publications

Latest funding

Combining Space, Time, and cell types to decode and explain the effect sizes of rare genomic variants on cognition and psychopathology.
CIHR · 2023 · Co-investigator
$734,400
Towards Improved Understanding and Efficient Utilization of Depthwise Computation in Modern Neural Networks
NSERC · 2022 · Principal investigator
$135,000
Representation learning and exploration of data geometries
NSERC · 2021 · Principal investigator
$12,500

All 6 grants and awards

20 publications.

Gaining biological insights through supervised data visualization.

Rhodes JS, Aumon A, Morin S, Girard M, Larochelle C, Brunet-Ratnasingham E, Pagliuzza A, Marchitto L, Zhang W, Cutler A, Grand'Maison F, Zhou A, Finzi A, Chomont N, Kaufmann DE, Zandee S, Prat A, Wolf G, Moon KR

Nature computational science2026

DOI: 10.1038/s43588-026-00999-7 PMID: 42380342

Sustained IFN signaling is associated with delayed development of SARS-CoV-2-specific immunity.

Brunet-Ratnasingham E, Morin S, Randolph HE, Labrecque M, Bélair J, Lima-Barbosa R, Pagliuzza A, Marchitto L, Hultström M, Niessl J, Cloutier R, Sreng Flores AM, Brassard N, Benlarbi M, Prévost J, Ding S, Anand SP, Sannier G, Marks A, Wågsäter D, Bareke E, Zeberg H, Lipcsey M, Frithiof R, Larsson A, Zhou S, Nakanishi T, Morrison D, Vezina D, Bourassa C, Gendron-Lepage G, Medjahed H, Point F, Richard J, Larochelle C, Prat A, Cunningham JL, Arbour N, Durand M, Richards JB, Moon K, Chomont N, Finzi A, Tétreault M, Barreiro L, Wolf G, Kaufmann DE

Nature communications2024

DOI: 10.1038/s41467-024-48556-y PMID: 38755196

Harnessing population diversity: in search of tools of the trade.

Bzdok D, Wolf G, Kopal J

GigaScience2024

DOI: 10.1093/gigascience/giae068 PMID: 39331809

Learnable Filters for Geometric Scattering Modules.

Tong A, Wenkel F, Bhaskar D, Macdonald K, Grady J, Perlmutter M, Krishnaswamy S, Wolf G

IEEE transactions on signal processing : a publication of the IEEE Signal Processing Society2024Senior author

DOI: 10.1109/tsp.2024.3378001 PMID: 40843462

Multi-view manifold learning of human brain-state trajectories.

Busch EL, Huang J, Benz A, Wallenstein T, Lajoie G, Wolf G, Krishnaswamy S, Turk-Browne NB

Nature computational science2023

DOI: 10.1038/s43588-023-00419-0 PMID: 37693659

EMBEDDING SIGNALS ON GRAPHS WITH UNBALANCED DIFFUSION EARTH MOVER'S DISTANCE.

Tong A, Huguet G, Shung D, Natik A, Kuchroo M, Lajoie G, Wolf G, Krishnaswamy S

Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)2022

DOI: 10.1109/icassp43922.2022.9746556 PMID: 36628172

Multiscale PHATE identifies multimodal signatures of COVID-19.

Kuchroo M, Huang J, Wong P, Grenier JC, Shung D, Tong A, Lucas C, Klein J, Burkhardt DB, Gigante S, Godavarthi A, Rieck B, Israelow B, Simonov M, Mao T, Oh JE, Silva J, Takahashi T, Odio CD, Casanovas-Massana A, Fournier J, Yale IMPACT Team, Farhadian S, Dela Cruz CS, Ko AI, Hirn MJ, Wilson FP, Hussin JG, Wolf G, Iwasaki A, Krishnaswamy S

Nature biotechnology2022

DOI: 10.1038/s41587-021-01186-x PMID: 35228707

Population Genomics Approaches for Genetic Characterization of SARS-CoV-2 Lineages.

Mostefai F, Gamache I, N'Guessan A, Pelletier J, Huang J, Murall CL, Pesaranghader A, Gaonac'h-Lovejoy V, Hamelin DJ, Poujol R, Grenier JC, Smith M, Caron E, Craig M, Wolf G, Krishnaswamy S, Shapiro BJ, Hussin JG

Frontiers in medicine2022

DOI: 10.3389/fmed.2022.826746 PMID: 35265640

Patient health records and whole viral genomes from an early SARS-CoV-2 outbreak in a Quebec hospital reveal features associated with favorable outcomes.

Paré B, Rozendaal M, Morin S, Kaufmann L, Simpson SM, Poujol R, Mostefai F, Grenier JC, Xing H, Sanchez M, Yechouron A, Racette R, Hussin JG, Wolf G, Pavlov I, Smith MA

PloS one2021

DOI: 10.1371/journal.pone.0260714 PMID: 34855869

DATA-DRIVEN LEARNING OF GEOMETRIC SCATTERING MODULES FOR GNNS.

Tong A, Wenkel F, Macdonald K, Krishnaswamy S, Wolf G

IEEE International Workshop on Machine Learning for Signal Processing : [proceedings]. IEEE International Workshop on Machine Learning for Signal Processing2021Senior author

DOI: 10.1109/mlsp52302.2021.9596169 PMID: 36945315

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Guy Wolf

Research

Latest papers

Latest funding

Gaining biological insights through supervised data visualization.

Sustained IFN signaling is associated with delayed development of SARS-CoV-2-specific immunity.

Harnessing population diversity: in search of tools of the trade.

Learnable Filters for Geometric Scattering Modules.

Multi-view manifold learning of human brain-state trajectories.

EMBEDDING SIGNALS ON GRAPHS WITH UNBALANCED DIFFUSION EARTH MOVER'S DISTANCE.

Multiscale PHATE identifies multimodal signatures of COVID-19.

Population Genomics Approaches for Genetic Characterization of SARS-CoV-2 Lineages.

Patient health records and whole viral genomes from an early SARS-CoV-2 outbreak in a Quebec hospital reveal features associated with favorable outcomes.

DATA-DRIVEN LEARNING OF GEOMETRIC SCATTERING MODULES FOR GNNS.

Combining Space, Time, and cell types to decode and explain the effect sizes of rare genomic variants on cognition and psychopathology.

Towards Improved Understanding and Efficient Utilization of Depthwise Computation in Modern Neural Networks

Representation learning and exploration of data geometries

Representation learning and exploration of data geometries

Real-time classification and interactive sampling of single-molecules for the selective enrichment of cellular populations with nanopore sequencing

Representation learning and exploration of data geometries

Frequent collaborators

Guillaume Lajoie

Catherine Larochelle

Alexandre Prat

Nicolas Chomont

Martin Smith

Sirui Zhou

Morgan Craig

Madeleine Durand

Julie Hussin

Nathalie Arbour

Etienne Caron

Danilo Bzdok