I'm a bioinformatics enthusiast with a strong interest in microbiome-host interactions, multi-omic analysis, and machine learning applications in biology. My work focuses on combining computational biology and bioinformatics to understand complex biological systems and diseases.
- ARG-PRISM: A machine learning-based framework for precise identification of antibiotic resistance genes from metagenomes.
- Breast Cancer Microbiome Research: Using metagenomic analyses to uncover gut microbiome-metabolite signatures in breast cancer patients. I recently presented this work at the ICiLS-24 conference at ASAB, NUST.
- Microbiome-host interactions
- Cancer biology (therapy resistance, tumor immunology)
- Metagenomics and Antibiotic Resistance
- NGS data analysis and multi-omics
- Machine learning and computational modeling for biological data
- Presented research at ICiLS-24 on Gut Microbiome-Metabolite Signatures in breast cancer patients.
- Developed bioinformatics pipelines using tools like BWA, BLAST, and Samtools.
- Active member of the International Society for Computational Biology (ISCB) and Vice President of *ISCB-SC Regional Student Council Pakistan.
- Languages: Python, R, Shell scripting
- Bioinformatics Tools: Fastp, fastQC, antiSMASH, AMPHORA2, CoverM, DIAMOND, STAR, Bowtie, BWA, BLAST, Samtools, AntiSMASH, Bioconda, and more.
- Data Analysis: Pandas, Scikit-learn, Biopython
- Version Control: Git, GitHub