Siamak Ravanbakhsh, McGill University

Research

Artificial Intelligence Big Data Deep Learning Machine Learning Structured Domains Symmetry and Invariance Astronomy Gaia Milky Way Galaxy AI Machine Learning Deep Learning Anomaly Detection Astrometry

Latest funding

Weighing the stars: Data-driven stellar population modeling for the next-generation sky surveys
NSERC · 2022 · Co-investigator
$90,000
Learning to Find Galactic Anomalies
SSHRC · 2020 · Principal investigator
$250,000
Scalable Inference in Emerging Structured Domains
NSERC · 2018 · Principal investigator
$231,000

All 3 grants and awards

Weighing the stars: Data-driven stellar population modeling for the next-generation sky surveys

Co-investigatorNSERC2022Alliance Grants

Principal investigators: Hezaveh, Yashar Y

Keywords: Cosmology; Dark Matter; Deep Learning; Dust; Galaxy evolution; Galaxy formation; Machine Learning; Optical Surveys; Stellar populations modeling; Strong Gravitational Lensing

$90,000

Learning to Find Galactic Anomalies

Principal investigatorSSHRC2020New Frontiers in Research Fund - Exploration

Principal investigators: Ravanbakhsh, Siamak

Keywords: Astronomy Gaia Milky Way Galaxy AI Machine Learning Deep Learning Anomaly Detection Astrometry

$250,000

Scalable Inference in Emerging Structured Domains

Principal investigatorNSERC2018Discovery Grants Program - Individual

Principal investigators: Ravanbakhsh, Siamak

Keywords: Artificial Intelligence; Big Data; Deep Learning; Machine Learning; Structured Domains; Symmetry and Invariance

$231,000

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 SSHRC grant from 2020

Subject: Prospective PhD student: Artificial Intelligence Dear Professor Ravanbakhsh, 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 artificial intelligence 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 SSHRC-funded project "Learning to Find Galactic Anomalies" (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]