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.

I’m currently working on :

• Discovering substructures in tandem mass spectrometry data using MS2LDA and pySubstructures.
• Omics data integration framework through GraphOmics and pyMultiOmics.

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.

📫 How to reach me: [email protected], or via twitter.