I am a PhD candidate in Bioinformatics and Systems Biology at the University of Nebraska Medical Center, where I develop computational frameworks for predicting spatial drug responses in tumor microenvironments.
🎓 Queen Elizabeth Commonwealth Scholar | MSc Bioinformatics, COMSATS University Islamabad
🔬 Research Focus: Spatial transcriptomics, cancer genomics, computational drug discovery, AL/ML
📝 Publications: 15+ peer-reviewed papers in cancer research and bioinformatics
👨🔬 Current Role: Graduate Research Assistant, Guda Lab | Team Lead, CareAI Drug Repurposing Group
My doctoral research integrates spatial transcriptomics with machine learning to predict how tumors respond to therapeutic interventions. I am particularly interested in understanding how the spatial organization of the tumor microenvironment influences drug sensitivity.
Previously, my master's thesis focused on designing personalized neoantigen mRNA vaccines for breast cancer using next-generation sequencing data.
I serve on the editorial board of Bioinformatics and Biology Insights, review for journals including BMC Genomics and Frontiers in Oncology, and judge student competitions such as iGEM and Regeneron ISEF. I am passionate about mentoring early-career researchers and building open-source tools for the bioinformatics community.
Languages & Statistical Computing
Bioinformatics & Data Science
Visualization & Applications
Tools & Platforms
Interactive R Shiny application for differential expression analysis of gene expression data. Supports GEO database integration and implements limma-based statistical analysis with comprehensive visualizations.
R Shiny limma Bioconductor ggplot2
I'm always interested in collaborating on projects involving:
- Genomic data analysis pipelines
- Interactive bioinformatics tools
- Machine learning applications in healthcare
- Open-source bioinformatics software
📫 Reach out: raheemkayode2017@gmail.com