About Me
I am a research scientist working across bioinformatics, AI/ML, and translational medicine. I integrate genomics and spatial/single-cell omics with digital pathology and clinical informatics to model tumor evolution, forecast therapy response, and discover biomarkers. Methodologically, I build graph neural networks and transformer models with causal and temporal analytics, delivered as reproducible pipelines (Nextflow/nf-core, containers, HPC/cloud). I also collaborate on computational drug discovery and pursue health equity through generalizable, fair evaluation. My goal is to translate robust, explainable AI into clinically actionable insights while building open tools and mentoring trainees.
- Computational Oncology
- Spatial/Single-cell Omics
- GNNs & Transformers
- Drug Discovery
- Clinical Informatics
- Reproducible Workflows
- Health Equity
News
Aug 2025
Our paper on Kaempferols from Echinacea purpurea Demonstrate Anti-Cancer Potential by Targeting Anexelekto in Breast Cancer Therapy Using Chemoinformatics Approach has been accepted by the Discover Oncology.
Dec 2024
I joined the University of Nebraska Medical Center as a PhD Student in Bioinformatics and System Biology. Looking forward to this new chapter!
Jun 2022
Presented my work on the Therapeutic capability of selected medicinal plants' bioactive constituents against the mutant ovarian TP53 gene; A computational approach. at the 30th Conference on Intelligent Systems for Molecular Biology (ISMB), International Society for Computational Biology (ISCB)
Research Interests
Cancer Genomics
Utilizing NGS data to understand the genomic landscape of cancer and identify novel biomarkers.
Computational Drug Discovery
Employing structural bioinformatics to study protein-ligand interactions and design potential therapeutics.
Artificial Intelligence / Machine Learning
Applying AI and ML techniques to analyze complex biological data and improve predictive modeling.
Selected Publications
Design of personalized neoantigen mRNA vaccines against breast cancer patients in Pakistan based on next-generation sequencing data.
Raheem, K., et al. (2024). Cancer Epidemiology, Biomarkers & Prevention.
Enhancing Transformer-Based Segmentation for Breast Cancer Diagnosis using Auto-Augmentation and Search Optimisation Techniques.
Raheem, K., et al. (2023). Cancer Epidemiology, Biomarkers & Prevention.
Therapeutic capability of selected medicinal plants' bioactive constituents against the mutant ovarian TP53 gene; a computational approach.
Raheem, K., et al. (2023). Advances in Biomarker Sciences and Technology.
Featured Projects
Personalized Neoantigen Vaccines
Designing mRNA vaccines from NGS data.
cGEDs R Shiny App
Interactive cancer drug-sensitivity analysis.
Multi-Omics & Structural Analysis
Identifying biomarkers and drug targets.
Education
2024 - Present
Doctor of Philosophy, Bioinformatics and System Biology
University of Nebraska Medical Center, Omaha, NE, United State
2022 - 2024
Master of Science, Bioinformatics
COMSAT University, Islamabad, Pakistan
2012 - 2017
Bachelor of Science, Biochemistry
Adekunle Ajasin University, Akungba-Akoko, Nigeria
Get in Touch
I'm always open to discussing research, collaborations, or new opportunities.
Contact Me