M2Lab — Centre for Statistical & Data Science Research

Rigorous research.
Actionable insight.

We collaborate with research institutions, universities, healthcare organisations, and purpose-driven businesses — delivering statistical analysis, AI solutions, and scientific training grounded in certified expertise.

We take on a small number of carefully scoped projects at any time — ensuring focused, high-quality collaboration on every engagement.

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1,600+

Trained worldwide

Researchers & professionals across 3 continents

15+

Years of research

Across academia, government & industry

68+

Publications

Peer-reviewed journals, books & conferences

CStat

Chartered Statistician

Royal Statistical Society, UK

What we do

Three pillars of
deep expertise.

Statistics

The science of inference.

Bayesian & frequentist modelling, uncertainty quantification, study design, clinical trials, and pro-bono civic statistics through the Royal Statistical Society.

BayesianGLMsClinical trialsRSS CStat
Statistical data visualisation dashboard

Statistics

Data Science & AI

Intelligence, engineered.

Agent frameworks, LLMs, document intelligence pipelines, reproducible research workflows, and web-deployable data products.

LLMsMCP agentsPipelinesDEVAN
Artificial intelligence neural network visualisation

Data Science & AI

Geoscience & Climate

Data at planetary scale.

Atmospheric sciences, climate analysis, oceanography, and numerical weather modelling — with 1,600+ researchers and professionals trained worldwide.

WRFERA5 · CMIPxarrayPhD
Satellite view of weather systems and cloud formations

Geoscience & Climate

Our approach

Methodical. Measurable. Reproducible.

Every engagement follows a structured, evidence-based process — so you always know what was done, why, and how to verify it.

01

Understand & Scope

We start by understanding your research question, data, and constraints. Every engagement begins with a clear specification — not assumptions.

02

Build & Evaluate

We develop models, pipelines, or analyses with built-in evaluation — measurable outcomes at every step, not just a final deliverable.

03

Deliver with Evidence

Every project produces a reproducible, documented result — a report, a dashboard, a pipeline — with the methodology transparent and auditable.

Who we collaborate with

Research-driven organisations
that value evidence.

🔬

Research Institutions

🎓

Universities

🏥

Healthcare Organisations

🌍

Non-profits & NGOs

🏛️

Government & Civic

🚀

Startups & SMEs

Credentials

Certified expertise you can trust.

Chartered Statistician

Royal Statistical Society

CStat — the highest professional accreditation in UK statistics

Graduate Statistician

Royal Statistical Society

GradStat — certified statistical training and practice

PhD Atmospheric Sciences

University of Alaska Fairbanks

GPA 4.0 · MSc Geophysics (Bergen) · BSc Mathematics & Statistics (Open University)

Statisticians for Society

RSS Pro Bono Programme

Contributing statistical expertise to civic and social research

“We believe in rigorous science, open data, and delivering insights that drive meaningful change.”

Michel d. S. Mesquita, PhD CStat

Founder, M2Lab CSDS

Let’s collaborate

Your research deserves
rigorous analysis.

Whether you need statistical consulting, an AI-powered data product, or scientific training — we’d love to hear about your project.