Work with me
I help cycling teams, brands, race organisers and sports-tech companies answer their questions with data. You bring the question, I do the analysis, and you get results you can act on.
For teams
Know how hard each stage is for each of your riders, and decide who to line up.
- Stage and course difficulty, rider by rider
- Support for rider selection and line-ups
- Prediction of race results
- Statistical comparison of equipment: which bike, wheel or setup is really faster
Related work: a physics-based stage difficulty score and the Fantasy Tour daily advisor.
For brands
Find out whether a product claim holds before you publish it.
- Statistical review of product claims and test reports
- Design of field tests: what to measure, how many runs and how to analyse them
Related work: Tubeless vs. tubular: are SRAM’s claims inflated?
For race and ultra-race organisers
Reports about your race, built from the data of the race itself.
- Heat and weather, across editions and along the route
- Abandonments (DNF): who, when and why
- Course difficulty
Related work: heat across five editions of an ultracycling race and DNF risk in self-routed ultracycling.
For sports-tech companies
Data science, machine learning and mathematical modelling projects made to measure.
- Mathematical and statistical modelling of performance, routes and sensor data
- Machine learning: prediction, recommender systems, reinforcement learning and computer vision
- Experiment design and A/B testing
Related work: my scientific publications and patents.
How it works
- You bring a question and your data: activity files, routes, results or test reports.
- I analyse it with the statistics and the modelling the question needs, and I tell you how far the data can be trusted.
- You get a report or a dashboard with the findings and clear recommendations.
Contact
Tell me about your project and I will reply with how I can help.
You can also send a direct message to velodata.ai on Instagram.