Faculty profile
Alexandre Bouchard-Côté
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Latest funding
- $450,000
Advanced Machine Learning Training Network (AML-TN)
NSERC · 2023 · Co-investigator
- $3,461,244
Canadian Statistical Sciences Institute
NSERC · 2022 · Co-investigator
- $129,000
Scalable approximation of complex probability distributions
NSERC · 2022 · Principal investigator
Advanced Machine Learning Training Network (AML-TN)
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
Canadian Statistical Sciences Institute
Principal investigators: Estep, Donald DJ
Keywords: actuarial science; biostatistics; collaboration; data science; interdisciplinary; multidisciplinary; research; statistics
Scalable approximation of complex probability distributions
Principal investigators: Bouchard-Côté, Alexandre
Keywords: monte carlo methods; non-reversibility; mcmc
Efficient probabilistic inference and Bayesian non-parametrics with applications in phylogenetics and cancer genomics
Principal investigators: Bouchard-Côté, Alexandre
Kamphir: a versatile framework to fit models to phylogenetic tree shapes.
Principal investigators: Poon, Arthur F
Keywords: Bioinformatics
The clonal dynamics of ovarian cancers: phylogenetic models of chemosensitivity and resistance
Principal investigators: Shah, Sohrab P
Keywords: Clonal Dynamics; Computational Biology; Dna Repair; Genomic Instability; Genomic Signatures; Homologous Recombination; Next-Generation Sequencing; Ovarian Cancer; Response Prediction; Tumour Evolution
Forest products stochastic modelling group: advanced manufacturing and product development
Principal investigators: Zidek, James
The Cancer Genome Collaboratory
Principal investigators: Stein, Lincoln
Keywords: Bioinformatics; Cancer; Cloud Computing; Genomics; Protection Of Patient Privacy
The cancer genome collaboratory
Principal investigators: Stein, Lincoln
Next generation phylogenetic modelling using machine learning
Principal investigators: BouchardCôté, Alexandre
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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