Damien Huzard, PhD

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Built by someone who lived the problem

15 years running behavioral experiments at EPFL and CNRS/INSERM means every tool, protocol, and recommendation is grounded in what actually happens in a real lab — not what looks good in a slide deck.

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Strategy and execution, not just advice

From metadata schema design to deployed Python pipelines, Damien works end-to-end. He builds the tools, writes the documentation, trains the team — and stays until the data actually works.

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Open by default

LWTools, MAPP, FAIR-VCG, MBO, HCMO — all open source. Because reproducible science needs shared infrastructure, not proprietary lock-in. The community is part of the product.

HCM Consulting

Independent guidance on system selection, experimental design, data extraction, and behavioral pipeline development across all major commercial and DIY HCM platforms.

FAIR Metadata & Data Governance

Designing practical FAIR metadata workflows, ontology-aware schemas, and data documentation strategies that make preclinical datasets reusable today and in ten years.

Behavioral & Physiological Analysis

Custom Python workflows for behavioral tracking, HCM analytics, ECG/HRV, circadian rhythms, and multimodal data alignment — from raw recordings to publication-ready figures.

R&D Co-development

Active research workstreams with CNRS/LIRMM (Dr. Konstantin Todorov): ontology-constrained LLM navigation over preclinical knowledge graphs, neuro-AI & stat-AI embedding methods for scientific knowledge generation, and multi-agent scientific reasoning pipelines. Companies and consortia can join as co-funders, co-developers, or licensees.