Sanjeena Dang (Subedi), Carleton University

Research

Biostatistics Cluster analysis Computational Statistics Model-based clustering genomics bioinformatics high dimensional data multi-view datasets

Latest funding

From physics to biology: Connecting cellular-level energy deposition with biological response in radiation medicine
SSHRC · 2021 · Co-investigator
$250,000
Model-based clustering of high dimensional discrete data and compositional data
NSERC · 2021 · Principal investigator
$84,000
Data Science and Analytics
NSERC · 2020 · Principal investigator
$455,000

All 3 grants and awards

From physics to biology: Connecting cellular-level energy deposition with biological response in radiation medicine

Co-investigatorSSHRC2021New Frontiers in Research Fund - Exploration

Principal investigators: Thomson, Rowan

Keywords: radiation medicine microdosimetry radiobiology Raman chemometrics Raman spectroscopy data analytics medical physics radiation oncology radiation response Monte Carlo simulation

$250,000

Model-based clustering of high dimensional discrete data and compositional data

Principal investigatorNSERC2021Discovery Grants Program - Individual

Principal investigators: Dang (Subedi), Sanjeena

Keywords: cluster analysis; model-based clustering; computational statistics; biostatistics

$84,000

Data Science and Analytics

Principal investigatorNSERC2020Canada Research Chairs

Principal investigators: Dang (Subedi), Sanjeena

Keywords: genomics; computational statistics; biostatistics; bioinformatics; cluster analysis; high dimensional data; multi-view datasets; biomedical applications

$455,000

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 2021

Subject: Prospective PhD student: Biostatistics Dear Professor Dang (Subedi), 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 biostatistics 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 "Model-based clustering of high dimensional discrete data and compositional data" (2021), 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]