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.