IBD Mycobiome Dashboard
Shiny dashboard and statistics site linking gut fungi, diet, and inflammation in IBD, built with a hospital partner.
Ian Gault
A scientist who builds data systems.
Applied Data Scientist · MDS · MSc · RPBio
I turn messy scientific data into trustworthy systems, models, and decisions.
My background spans scientific research, six years of environmental consulting, and modern data science and machine learning. I work across the data lifecycle: understanding how measurements are generated, building reproducible pipelines, developing statistical and machine-learning models, deploying them, and communicating results to the people who depend on them.
Data are observations of the real world; models are abstractions of it. Good data science connects the two through careful measurement, rigorous modelling, and thoughtful interpretation.
How I work
From how the data were generated to the decisions they support.
Measure
Start with how the data were generated: instruments, detection limits, and sampling design.
For example MSc research in analytical toxicology
Engineer
Turn messy, multi-source data into reproducible, tested pipelines.
For example Water Quality Harmonization
Model
Match the model to the data and check its assumptions before trusting the result.
For example Modelling Beyond a Straight Line
Decide
Communicate results clearly enough to support regulatory, environmental, and business decisions.
For example Six years of consulting
Featured projects
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What I’m looking for
I’m interested in data science and analytics roles where quantitative methods intersect with science, technology, health, natural resources, or other complex real-world systems.