Scientist (Bioinformatics)
Hacking life's code using the nexus of bioinformatics : Where algorithms decode biology's deepest secrets

I am employed in the field of bioinformatics and have a passion for the automation and enhancement of NGS (Multi-omics) operations and computer-aided drug discovery (CADD). I am interested in conducting research that can be replicated and will provide the scientific community with robust, scalable processes. I concentrate on the development of robust, scalable pipelines that facilitate the replication of research.
I have worked with multi-omics data in oncology, cardiovascular illnesses, and neurodegenerative disorders. I have combined genomics, transcriptomics, and epigenomics to get therapeutically useful information. I've also contributed to riverine metagenomics research to investigate the ecology of microorganisms and their potential benefits to aquatic ecosystems.

• Shell Scripting: Automation of scientific workflows and data processing.
• NGS (Multi-Omics) Data Analysis: Quality control, alignment, variant calling, annotation, and interpretation.
  • Whole Exome Sequencing (WES)
  • Whole Genome Sequencing (WGS)
  • Whole Genome Bi-sulphite Sequencing (WGBS)
  • Targeted Genomics
  • Bulk & Targeted RNA-Seq
  • Shotgun & Targeted Metagenomics
• CADD (Computer Aided Drug Design): In silico prediction and optimization of drug candidates.
• Molecular Dynamics Simulation: Exploring biomolecular structures and behaviors.
• Molecular Docking: Protein-ligand interaction studies.
• R Programming: Statistical analysis and data visualization.
• Containerization:
  • Docker: Packaging and sharing reproducible environments.
  • Conda/Mamba: Flexible and efficient package management for bioinformatics.
• Workflow Management:
  • Nextflow & nf-core: Scalable, portable, and reproducible pipelines for omics data.

• Building reproducible, scalable bioinformatics workflows using Nextflow and nf-core.
• Integrating Computer Aided Drug Design (CADD) with molecular simulation and drug discovery pipelines.
• Automating NGS workflows for diverse data types (WES, WGS, methylome, RNA-seq, metagenomics, etc.).
• Containerizing bioinformatics tools for portability and reproducibility.

• 💬 Always open to collaborations, discussions on open science, and pipeline development.
• 📫 Contact me via GitHub Issues
• 🌐 View my projects

Empowering Life Sciences with Scalable, Reproducible, and Automated Bioinformatics Solutions to obtain scientifically significant information.