Benjamin Bloem-Reddy, University of British Columbia

Research

Bayesian inference Bayesian nonparametrics computational statistics deep learning network analysis probabilistic machine learning probabilistic programming statistical learning theory

Latest funding

Advanced Machine Learning Training Network (AML-TN)
NSERC · 2023 · Co-investigator
$450,000
Statistical machine learning for dependent data: symmetry and novel dependence structures
NSERC · 2020 · Principal investigator
$120,000
Statistical machine learning for dependent data: symmetry and novel dependence structures
NSERC · 2020 · Principal investigator
$12,500

All 4 grants and awards

Advanced Machine Learning Training Network (AML-TN)

Co-investigatorNSERC2023Collaborative Research and Training Experience

Principal investigators: Wood, Frank FD

Keywords: artificial intelligence; computer vision; differential privacy; human-centered ai; inference; kernel methods; machine learning; natural language processing; optimization; probabilistic programming

$450,000

Statistical machine learning for dependent data: symmetry and novel dependence structures

Principal investigatorNSERC2020Discovery Grants Program - Accelerator Supplements

Principal investigators: Bloem-Reddy, Benjamin

$120,000

Statistical machine learning for dependent data: symmetry and novel dependence structures

Principal investigatorNSERC2020Discovery Launch Supplement

Principal investigators: Bloem-Reddy, Benjamin

$12,500

Statistical machine learning for dependent data: symmetry and novel dependence structures

Principal investigatorNSERC2020Discovery Grants Program - Individual

Principal investigators: Bloem-Reddy, Benjamin

Keywords: probabilistic machine learning; symmetry; bayesian nonparametrics; statistical learning theory; computational statistics; network analysis; deep learning; stochastic processes; bayesian inference; probabilistic programming

$115,000

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

Write to this professor

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Applying for

Mention their NSERC grant from 2020

Subject: Prospective PhD student: Bayesian inference Dear Professor Bloem-Reddy, 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 inference 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 "Statistical machine learning for dependent data: symmetry and novel dependence structures" (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]