Blog posts

163 minute read

Published: August 26, 2024

A model that can evaluate the maximal mean power during exercise?

9 minute read

Published: March 21, 2024

Of eagels, sunflowers, and cycling trajectories

7 minute read

Published: November 23, 2023

Risk and rewards in road cycling fast descents

less than 1 minute read

Published: May 27, 2022

AI applied to cardiopulmonary exercise test data

8 minute read

Published: March 03, 2022

Notes on bike handling in road cycling

16 minute read

Published: January 01, 2022

Oxynet: A collective intelligence approach to cardiopulmonary test interpretation

6 minute read

Published: May 27, 2021

The Greatest Show on Earth

less than 1 minute read

Published: March 22, 2020

In this post, I discuss how AI techonologies might assist us to monitor and optimize the chronic physiological adaptations that occur with endurance training, as well as how AI models might be used subsequently to develop more data-driven and systematic approaches to training program design.

How AI is (not) going to change sport science

less than 1 minute read

Published: January 11, 2019

In this blog post with this (for some) controversial title, I diuscss why I don’t believe that we need AI to become better coaches or better sport scientists. Indeed, we need AI to test old ideas, and form new ones, to stimulate debate, and move our optimization forward.