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Bioinformatics & Computational Biology

Abdulazeez
Abiade

Bioinformatics Researcher & Software Engineer

First Class HonoursB.Sc. Biochemistry · Lagos State University (LASU) · 2025

I studied life at the molecular level, then wrote software to analyse it. Now I do both at once — with Python, R, and a biochemistry degree.

Abdulazeez Abiade
🧬

First Class

Biochemistry, LASU

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Background

01

First Class in Biochemistry.

Four years studying at Lagos State University — molecular genetics, enzyme kinetics, analytical chemistry, cell biology. The science was rigorous and occasionally humbling. Graduated top of my cohort in 2025.

02

Also shipping production software the whole time.

Not side projects — deployed applications with real users and real transactions. Payment backends, real-time chat, escrow marketplaces. I wrote code the same semesters I sat biochemistry finals. The two tracks ran in parallel, completely independently.

03

Bioinformatics is where they converge.

I use Python and R to work with biological data — sequences, structures, expression profiles. I write pipelines the way I write APIs: for correctness, reproducibility, and maintainability. The biology tells me what questions to ask. The code answers them.

Computational toolkit

Programming & Scripting

Python88%
R62%
Bash / Linux72%
SQL75%

Bioinformatics Tools

Biopython74%
BLAST / NCBI68%
Scikit-bio60%
Clustal / MUSCLE58%

Data Science & ML

pandas / NumPy82%
scikit-learn72%
Matplotlib/Seaborn78%
Jupyter Notebooks85%

Research interests

Where I focus

The biological problems I find most compelling and the computational tools I am building proficiency with to address them. Click any card to expand.

Genomics & Sequence Analysis

DNA/RNA sequence analysis, alignment algorithms, and variant calling pipelines that turn raw sequenc…

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Computational Drug Discovery

Applying computational chemistry and machine learning to accelerate hit identification. Molecular do…

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Structural Bioinformatics

Analysing protein 3-D structure, folding patterns, and active-site geometry to understand catalytic …

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Biomedical Data Science

Using machine learning and statistical modelling on large-scale omics datasets—transcriptomics, prot…

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Credentials

DataCamp
Certifications

Working through a structured R curriculum to build the statistical programming foundation that bioinformatics requires. These are completed certificates — not coursework in progress.

4 certificates earned

Tap the top card · click dots to navigate

  • Introduction to R
  • Intermediate R
  • Introduction to the Tidyverse
  • Introduction to Bioconductor

Computational work

Research projects

Contact

Open to
collaboration

I am actively looking for graduate research opportunities in bioinformatics, computational biology, or related fields — MSc or PhD programmes at institutions in Europe or North America.

I am also open to research collaborations, academic mentorship, and conversations with people working at the intersection of biology and computation. If you are doing interesting work in this space, reach out.