Alejandro Murua, Université de Montréal

Research

Bayesian non-parametrics classification computational statistics deep-learning Gibbs random fields neural networks Potts model prediction

Latest funding

Brain connectivity-based optimization of non-invasive brain stimulation to improve cognitive symptoms in schizophrenia
CIHR · 2019 · Co-investigator
$562,276
Bayesian deep-learning prediction with sparse graphs
NSERC · 2019 · Principal investigator
$150,000
Kernel-based non-parametric Bayesian clustering models
NSERC · 2013 · Principal investigator
$95,000

All 6 grants and awards

Brain connectivity-based optimization of non-invasive brain stimulation to improve cognitive symptoms in schizophrenia

Co-investigatorCIHR2019Project Grant

Principal investigators: Orban, Pierre

Keywords: Cluster Analysis; Cognition; Electroencephalography; Functional Brain Connectivity; Functional Magnetic Resonance Imaging; Individual Variability; Neuromodulation; Prefrontal Cortex; Schizophrenia; Transcranial Magnetic Stimulation

$562,276

Bayesian deep-learning prediction with sparse graphs

Principal investigatorNSERC2019Discovery Grants Program - Individual

Principal investigators: Murua, Alejandro

Keywords: Bayesian non-parametrics; classification; computational statistics; deep-learning; Gibbs random fields; neural networks; Potts model; prediction; sparse graphs; statistical learning

$150,000

Kernel-based non-parametric Bayesian clustering models

Principal investigatorNSERC2013Discovery Grants Program - Individual

Principal investigators: Murua, Alejandro

$95,000

Computational resources for research in mathematics and statistics

Co-investigatorNSERC2013Research Tools and Instruments - Category 1 (<$150,000)

Principal investigators: LafayedeMicheaux, Pierre

$28,143

Grappes de calcul déciées aux simulations et analyses de données complexes, et postes de travail pour le laboratoire de statistique

Co-investigatorNSERC2007Research Tools and Instruments - Category 1 (<$150,000)

Principal investigators: Duchesne, Pierre

$43,756

High dimensional data clustering and pattern recognition

Principal investigatorNSERC2006Discovery Grants Program - Individual

Principal investigators: Murua, Alejandro

$132,000

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 NSERC grant from 2019

Subject: Prospective PhD student: Bayesian non-parametrics Dear Professor Murua, 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 bayesian non-parametrics 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 "Bayesian deep-learning prediction with sparse graphs" (2019), 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]