Complex terrain presents challenge for comparing running trails as sport grows
On the need for technical standards and data comparability in complex environments at a global level.
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Selected appearances and interviews.
Strategic use of data in high-performance environments
On converting raw data into actionable decisions through empirical evidence.
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Data Science: From noise to signal
Interview covering my professional trajectory, noise reduction and practical application of data science.
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Selected research: mathematical modelling and empirical validation.
Comparative evaluation of wearable devices for measuring elevation gain in mountain physical activities (2020)
Analysing gait transition dynamics in uphill trail running from wearable devices (2024)
Assessing the impact of digital elevation model resolution on elevation gain estimations in trail running (2024)
How fractal complexity distorts distance and elevation gain in trail and mountain running: the case for course measurement standardization (2025)
High-Precision Mapping of Mountain Terrain for Human Locomotion Research: A Multimodal Geospatial Framework (2025)
Associations between training load, heart rate variability, perceptual fatigue, sleep, and injury in endurance athletes during a 12-week training mesocycle (2025)
R&D: Architecture & Modelling
Designing and testing mathematical models against empirical chaos.
- Empirical validation: Extracting the signal from the noise under real conditions.
- Predictive architectures: Mathematical modelling and reproducible experimental design.
- Strategic translation: From the analytical pipeline to corporate business impact.
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Collaboration formats
I offer flexibility depending on the stage of your project: technical audits, ongoing advisory, or direct implementation sprints.
Scope, deliverables and timelines adjust to the complexity of the problem.
Artifacts
Code, models and empirical tools.