🧬 Bioinformatics Engineer | Computational Researcher | Scientific Workflow Developer
I am a Bioinformatics Engineer and Computational Researcher focused on building scalable analytical systems for genomics, transcriptomics, cancer biology, synthetic biology, and machine learning.
My work spans multi-omics integration, NGS workflow development, computational oncology, AMR surveillance, CRISPR analysis, and reproducible research infrastructure. I enjoy transforming complex biological datasets into automated, reusable, and production-ready computational frameworks.
Education:
- B.Sc. Bioinformatics, Benha University
Research Areas:
- Cancer Genomics
- Multi-Omics Integration
- Computational Biology
- Synthetic Biology
- Machine Learning
- NGS Analysis
- Workflow Engineering
- AMR Surveillance
Core Technologies:
- R
- Python
- Bash
- Nextflow
- Docker
- Linux| Project | Description | Technologies |
|---|---|---|
| 🧬 OmicsFlow Engine | Production-grade Nextflow framework designed for reproducible omics analysis. Supports modular execution, containerized environments, workflow portability, and scalable deployment. | Nextflow Docker Bash Git |
| 🔬 Multi-Omics HCC Platform | Integrative framework for RNA-seq, SNV, methylation, and clinical data analysis in Hepatocellular Carcinoma. Designed for automated preprocessing, feature extraction, and biological interpretation. | R TCGAbiolinks DESeq2 edgeR limma maftools |
| 🦠 AMR Analytics Pipeline | High-throughput genomic workflows for antimicrobial resistance detection, bacterial genomics analysis, and reproducible sequence processing. | BWA-MEM AMRFinderPlus Bash R |
| ⚗️ Synthetic Biology Research Suite | Computational framework for sequence analysis, toehold switch evaluation, and synthetic biology research workflows. | Python R Bioinformatics |
- 🔬 Multi-Omics Integration
- 🧠 Machine Learning for Biological Data
- ⚙️ Workflow Engineering with Nextflow
- 🧬 NGS Analysis & Variant Discovery
- ⚗️ Synthetic Biology Research
- 🦠 AMR Genomics
I don't build analyses for a single dataset.
I engineer reusable computational systems capable of scaling across genomics, transcriptomics, cancer biology, synthetic biology, and other data-intensive areas of modern bioinformatics.
Every living thing on Earth is basically running different versions of the same source code. Nature just merged the largest pull request in history.