I specialize in developing computational methods across multi-OMICS applications, interrograting genomics, proteomics, metabolomics, and microbiomics to uncover new insights and enhance our understanding of complex biological systems, particularly in health and disease research.
- Optimizing Metaproteomics Analysis: Automating/Optimizing DIA-MS workflows for microbiome studies.
- Cloud-Based Computational Solutions: Exploring scalable infrastructure for OMICS data and computational pipelines.
- Django/FastAPI Web Applications: Building a web-based platform for data curation and analysis.
- Programming: Python, JavaScript, R, Bash, SQL
- Frameworks: Django, FastAPI, Nextflow
- DevOps: HPC, Slurm, Docker
- LinkedIn: Dzunisani