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Hi šŸ‘‹ I'm Joe.

I work on applying machine learning in computational biology domain, mostly in metabolomics and multi-omics data analysis.

All my work are available on this GitHub. I also published in computational biology and bioinformatics journals journals, as well as presenting in workshops and conferences. I don't do as much of that anymore in the industry, so most of my open-source works can be found in this GitHub profile.

Iā€™m currently working on :

Other past projects that you may find interesting:

  • Developing novel fragmentation strategies in metabolomics via ViMMS and ViMMS-gym.
  • Bayesian adaptive clinical trial design via pyBasket.

šŸ“« How to reach me: [email protected], or via twitter.

Joe Wandy's Projects

hdp-align icon hdp-align

HDP-Align and various other alignment methods for LC-MS data

hlda icon hlda

Gibbs sampler for the Hierarchical Latent Dirichlet Allocation topic model

multifile_lda icon multifile_lda

Extension to Latent Dirichlet Allocation (LDA), where topics are now shared across multiple files (collections).

precursor-alignment icon precursor-alignment

Ionization product clustering of LC-MS peaks and using the clusters to achieve better peak alignment

smiles2spectra icon smiles2spectra

Attempting to predict molecules from their fragmentation spectra.

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