ATM-first framing

We design around operational questions (comparability, constraints, interpretability), not just model outputs.

Traceability by default

Each result links back to trajectory, meteorology, assumptions, and model versioning—supporting verification and continuous improvement.

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Alignment with EU-MRV thinking

We structure data and workflows around “what must be monitored vs what can be sourced,” consistent with the EU’s primary/secondary data concepts and method pathways (e.g., weather-based vs simplified approaches).

Team snapshot

We are an interdisciplinary team across aviation operations, atmospheric science, and data engineering. Our background spans trajectory analysis, emission/climate modelling, and operational data pipelines—focused on turning complex climate signals into usable evidence for ATM and operator decision-making.

Staff

Max
Mendiguchía Meuser

Lead Researcher

Aviation Climate Impact & Trajectory Analytics

Non-CO₂ climate effects · Aircraft performance modelling · Numerical Weather Prediction · Data-driven climate optimisation

Waiting for
onboarding

Lead Data Engineer

ML & Climate Analytics

Machine Learning · Large Language Models · Scalable data pipelines · Optimization algorithms · Emission inventory modelling

Curious?

Let’s talk about your use case.
Whether you’re exploring non-CO₂ routing concepts, building an MRV-ready pipeline, or validating an operational use case—we’ll help you scope a pragmatic next step.

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