PAUL WAMBO
ABOUT

A computational approach to biological questions.

My name is Paul Wambo, a Computational Scientist and Bioinformatics Specialist with a background in biochemistry, computer science, and bioinformatics.

I work at the intersection of biology, computation, machine learning and software engineering to solve complex biological problems.

My work spans the interpretation of biology, computational modelling, and machine learning, with interests ranging from spatial transcriptomics and natural products to drug discovery and biological foundation models.

I'm particularly interested in building useful computational tools that turn biological data into actionable knowledge.

Explore my projects ↗
SELECTED WORK

Research capabilities across complex biological systems.

01

Natural Product AI

Machine learning for biosynthetic gene-cluster annotation and natural product discovery.

02

Spatial Transcriptomics

Developing tools to explore spatial organization, transcriptional states and cellular context.

03

Generative Modelling

Developing computational models to understand, represent and generate biological systems.

04

Federated Learning for Biological Data

Distributed approaches for learning from sensitive biological datasets while preserving data locality.

APPROACH

How I approach biological problems.

01

Start with the biology

Understand the biological question, experimental context and what the data can actually answer.

02

Build the computational layer

Develop reproducible workflows, models and infrastructure that make the analysis reliable.

03

Make it useful

Translate complex analyses into interpretable results, tools and scientific decisions.

FOR PROJECT COLLABORATIONS

Let's build something interesting.

I am interested in collaborating on computational biology, machine learning and biological data projects.