Computational biologist and data analyst with a strong foundation in cell and molecular biology, spatial transcriptomics, and machine learning. Skilled in designing and executing end-to-end bioinformatics pipelines, gene…
Computational biologist and data analyst with a strong foundation in cell and molecular biology, spatial transcriptomics, and machine learning. Skilled in designing and executing end-to-end bioinformatics pipelines, gene regulatory network analysis, and multi-omics data integration. Combines deep wet-lab biological understanding with advanced programming and statistical skills to extract actionable insights from complex genomic datasets. Adept at working in HPC cluster environments and developing production-ready analytical tools for research and applied settings.
<p>Designed and built end-to-end spatial transcriptomics analysis pipelines for UPEC bladder infection models using Seurat, Squidpy, and custom Python workflows<br>
Performed systematic comparison of TLR4-functional vs. TLR4-mutant mouse strains (C57BL/6 & CBA) to identify mechanisms underlying differences in bacterial clearance<br>
Constructed and interrogated gene regulatory networks (GRNs) using SCENIC+ and co-expression approaches to identify key transcription factor regulons<br>
Integrated scRNA-seq and spatial transcriptomics modalities to resolve cell-type-specific transcriptional programs at tissue-level resolution<br>
Deployed computational pipelines on HPC cluster via SLURM for large-scale parallelized processing of multi-sample experiments<br>
Produced publication-quality visualizations: spatial feature plots, UMAP embeddings, pathway enrichment charts, and GRN network diagrams</p>
<p>Conducted structured quantitative data analysis to support evidence-based public health strategy recommendations<br>
Coordinated documentation and reporting for multi-disciplinary research projects, ensuring compliance with ethical and regulatory standards<br>
Contributed to data-driven reports informing health policy initiatives across Abu Dhabi health sector</p>
<p>Conducted applied research on sanitation technologies, analysing performance data and generating detailed technical reports<br>
Developed data collection protocols and statistical analyses to evaluate product efficacy and performance benchmarks</p>
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