M2Lab — Centre for Statistical & Data Science Research
We collaborate with research institutions, universities, healthcare organisations, and purpose-driven businesses — delivering statistical analysis, intelligent systems, 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.
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
Bayesian & frequentist modelling, uncertainty quantification, study design, clinical trials, and pro-bono civic statistics through the Royal Statistical Society.
Statistics
Agent frameworks, LLMs, document intelligence pipelines, reproducible research workflows, and web-deployable data products.
Data Science & AI
Atmospheric sciences, climate analysis, oceanography, and numerical weather modelling — with 1,600+ researchers and professionals trained worldwide.
Geoscience & Climate
Our approach
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.
Research highlights
Selected publications across statistical climate science, regional climate modelling, ecology, and hydrology.
Statistics in climate science
Benestad et al., including M. D. S. Mesquita
How statistical thinking can sharpen the interpretation of climate model ensembles, extract meaningful information, and support more efficient experimental design and uncertainty assessment.
Regional climate modelling & education
Walton, Yarker, Mesquita & Otto
An educational framework that makes regional climate modelling accessible to scientists and decision-makers, built around e-WRF, a virtual learning environment for WRF.
Climate dynamics & seabird populations
M. D. S. Mesquita et al.
How broader climate dynamics shape the population growth of a long-lived seabird, and why looking beyond a single climate index matters for ecological variability.
Cold Case: The Death of Common Guillemots in the Barents Sea
Michel Mesquita & Kjell Einar Erikstad
An accessible account of the 1986–87 guillemot collapse in the Barents Sea and its possible links with climate variability.
Climate & water resources in India
M. D. S. Mesquita et al.
Monsoon variability, snow and glacier processes, and regional hydrology in India. From the NORINDIA programme (2012–2015), which combined WRF dynamical downscaling with hydrological modelling.
Software & AI work
Who we collaborate with
Research Institutions
Universities
Healthcare Organisations
Non-profits & NGOs
Government & Civic
Startups & SMEs
Credentials
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
Writing & 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
Whether you need statistical consulting, an AI-powered data product, or scientific training — we’d love to hear about your project.