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Research
Latest papers
A nearby dark molecular cloud in the Local Bubble revealed via H2 fluorescence.
Nature astronomy · 2025
Latest funding
- $125,000
Illuminating the chemical universe: can machine learning be used to fill critical knowledge gaps in astrochemistry?
SSHRC · 2024 · Co-investigator
- $12,500
Probabilistic Models for Complex and Large-Scale Scientific Discovery
NSERC · 2024 · Principal investigator
- $41,000
Probabilistic Models for Complex and Large-Scale Scientific Discovery
NSERC · 2024 · Principal investigator
1 publications.
A nearby dark molecular cloud in the Local Bubble revealed via H2 fluorescence.
Burkhart B, Dharmawardena TE, Bialy S, Haworth TJ, Cruz Aguirre F, Jo YS, Andersson BG, Chung H, Edelstein J, Grenier I, Hamden ET, Han W, Hoadley K, Lee MY, Min KW, Müller T, Pattle K, Peek JEG, Pleiss G, Schiminovich D, Seon KI, Wilson AG, Zucker C
Illuminating the chemical universe: can machine learning be used to fill critical knowledge gaps in astrochemistry?
Principal investigators: Cooke, Ilsa
Probabilistic Models for Complex and Large-Scale Scientific Discovery
Principal investigators: Pleiss, Geoff
Keywords: machine learning; probabilistic modeling; bayesian optimization; gaussian processes; neural networks; uncertainty quantification
Probabilistic Models for Complex and Large-Scale Scientific Discovery
Principal investigators: Pleiss, Geoff
Keywords: machine learning; probabilistic modeling; bayesian optimization; gaussian processes; neural networks; uncertainty quantification
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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