🎓M.Sc.Candidate in Biochemistry & Molecular Biology | 🔬 Molecular Cancer Biology,🧬 RNA Biology & 💻 Bioinformatics 📍 Cairo, Egypt.

• 👨‍🔬 About Me
• 🔬 Research Interests & Expertise
• 🛠️ Skills & Tools
• 📁 Selected Projects & Interests
• 📊 GitHub Stats & Achievements
• 💼 Collaboration & Opportunities
• 📫 Contact Me
• ⚖️ License

I am an early-career researcher with a focus on molecular cancer biology, RNA biology and bioinformatics. I am passionate about integrating computational and experimental approaches to study gene regulation and biomarker discovery.

Currently, I am expanding my expertise in genomic data analysis and molecular techniques, focusing on bridging in silico predictions with wet-lab validation.

I am committed to continuous learning, collaboration, and applying bioinformatics and molecular biology to advance cancer research.

• Molecular Cancer Biology
• MicroRNA (miRNA) Biomarkers in Cancer
• Epigenetics and DNA Methylation Analysis
• Genomic Data Science and Bioinformatics
• Gene Expression Analysis (RNA-Seq, qPCR)
• Sequence Alignment and Phylogenetics

• Programming & Data Analysis: Python (Jupyter Notebook), R, Linux Bash
• Bioinformatics Tools: BLAST, KEGG pathway enrichment, Nextflow, BUSCO
• Sequencing Technologies: Nanopore, Illumina
• Statistical & Machine Learning Approaches for Genomic Data
• Experimental Techniques: qPCR, RNA Extraction, Cell Signaling Pathways
• Version Control & Collaboration: Git, GitHub

• Participated in the Omic Codeathon organized by the African Society for Bioinformatics and Computational Biology (ASBCB) as part of team brcamethyl.
• particapated in Conducting integrative analysis of WGBS, RNA-Seq, and ATAC-seq data to uncover DNA methylation signatures in breast cancer.
• Participated in Identifying differentially methylated regions (DMRs) and linked them with gene expression to explore potential regulatory mechanisms.
• Managed version-controlled workflows and contributed to documentation and reproducibility efforts.

• Investigating the role of microRNAs (miRNAs) as diagnostic and prognostic biomarkers for cancer.
• Integrating bioinformatics tools for differential expression analysis with experimental validation .
• Performing pathway enrichment to interpret target gene functions.
• Aiming to connect in silico predictions with laboratory results from blood samples.

• Conducted a literature-based essay exploring the mechanisms of autoimmune diseases with a focus on rheumatoid arthritis.
• Analyzed the genetic and immune contributions to disease progression and therapeutic targets

I am passionate about advancing research at the intersection of molecular cancer biology,epigenetics,RNA biology, and bioinformatics. I actively seek collaborations focused on:

• Development of bioinformatics pipelines for multi-omics data integration (RNA-Seq, DNA methylation, ATAC-seq)
• Computational approaches to uncover molecular mechanisms in cancer progression and biomarker discovery
• Applying machine learning models to genomic and transcriptomic datasets
• Cloud-based scalable solutions for bioinformatics workflows and reproducible research

If you are working on related projects or need expertise in bioinformatics analysis, data science, or molecular biology applications, please feel free to connect!

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