Microbiology graduate and early-career public health researcher with a growing focus on bioinformatics, genomics, and computational approaches to disease surveillance. I am interested in how data can be used to understand infectious disease patterns, gut-brain axis dynamics, and health system performance — particularly in West African contexts.

I hold a First-Class Honours BSc in Microbiology from Nile University of Nigeria and have spent the past year building applied skills in R and Python through self-directed learning and real-world research projects.

• Microbiome research and the gut-brain axis
• Public health data analysis and disease surveillance
• Genomics and antimicrobial resistance
• Bioinformatics pipeline development

• R — data wrangling (tidyverse), visualisation (ggplot2), statistical analysis (ANOVA, Welch's ANOVA, Games-Howell), reproducible research
• Python — pandas, matplotlib, seaborn (actively developing)
• Biocuration — active curator for BugSigDB within the Bioconductor community, curating microbiome-disease association studies
• Wet lab — molecular biology techniques, microbiology methods

• Nigeria Routine Immunisation Analysis — Exploratory analysis of immunisation coverage, zero-dose burden, and vaccination dropout across Kano, Lagos, and Anambra (2022-2024). Built in R with inferential statistical testing and seven visualisations. View repo →

BSc Microbiology — First-Class Honours (4.84/5.00 CGPA) Nile University of Nigeria — Best Graduating Student

Building a public health and bioinformatics portfolio while preparing for graduate school applications in bioinformatics and computational biology. Open to research collaborations, internships, and fellowship opportunities.

Let's connect — I am always interested in conversations about microbiome research, public health data, and science in Africa.