Mathias Lécuyer, University of British Columbia

Research

Read how they describe their research on their University of British Columbia profile.

Latest funding

Enabling Development Speed for Adversarially Robust Foundation Models
NSERC · 2025 · Principal investigator
$150,000
Towards practical, end-to-end differentially private machine learning
NSERC · 2022 · Principal investigator
$87,000
Digital self-tracking and self-testing for early detection of endometrial cancer
CIHR · 2022 · Co-investigator
$879,750

All 6 grants and awards

No publications available.

Enabling Development Speed for Adversarially Robust Foundation Models

Principal investigatorNSERC2025Research Tools and Instruments

Principal investigators: Lecuyer, Mathias

Keywords: adversarial robustness; differential privacy; denoising diffusion; randomized smoothing; vision language models

$150,000

Towards practical, end-to-end differentially private machine learning

Principal investigatorNSERC2022Discovery Grants Program - Individual

Principal investigators: Lecuyer, Mathias

Keywords: differential privacy; security and privacy in the cloud; private data management; data security and privacy; machine learning; neural networks

$87,000

Digital self-tracking and self-testing for early detection of endometrial cancer

Co-investigatorCIHR2022Project Grant

Principal investigators: Talhouk, Aline; Anglesio, Michael S; Hill, Janet E; Money, Deborah M; Tinker, Anna

Keywords: Biomarkers; Digital Health; Early Detection; Endometrial Cancer; Health Equity; Predictive Modelling; Risk Prediction; Self-Tracking; Wearables; Women'S Health

$879,750

Towards practical, end-to-end differentially private machine learning

Principal investigatorNSERC2022Discovery Launch Supplement

Principal investigators: Lecuyer, Mathias

$12,500

Improving endometrial cancer risk prediction by including genetic, environmental, and temporal exposures

Co-investigatorCIHR2022Project Grant - PA: Women's Health Research - Early Career Researcher Grant

Principal investigators: Talhouk, Aline

Keywords: Canpath; Canue; Dynamic Risk Models; Endometrial Cancer; Etiology; Gender Role; Precision Prevention; Risk Prediction Modelling; Single Nucleotide Polymorphism; Socio-Economic Factors

$100,000

Digital self-tracking for early detection and prevention of endometrial cancer during reproductive aging

Co-investigatorCIHR2021Project Grant - PA: Equity in Cancer Prevention and Control

Principal investigators: Talhouk, Aline; Anglesio, Michael S; Hill, Janet E; Money, Deborah M; Tinker, Anna

Keywords: Biomarkers; Digital Health; Early Detection; Endometrial Cancer; Female Health; Health Equity; Predictive Modelling; Risk Prediction; Self-Tracking; Wearables

$100,000

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 2025

Subject: Prospective PhD student Dear Professor Lécuyer, 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 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 "Enabling Development Speed for Adversarially Robust Foundation Models" (2025), 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]