EUR DIGISPORT

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This Thursday, September 24, 2026, the graduation ceremony took place for our 2024–2026 class of the Master’s in Digital Sport Sciences!

The students received their diplomas along with a medal recognizing all the hard work accomplished over the past two years in our program.

The entire DIGISPORT team is proud of their achievements and wishes them the very best in their future projects, not forgetting those who were unable to attend the evening.

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Xinrui Zhu, a PhD student at the École normale supérieure de Rennes within the M2S Lab, is the fourth speaker for this third edition. She will present a conference entitled “Integrated machine learning framework for modeling individual training load in rugby: from multitask prediction to tactical application”.

She will discuss a data-driven approach to monitoring training load and physical performance in professional rugby players. Using longitudinal GPS, heart rate variability (HRV), and wellness data collected during a French professional rugby season, she will demonstrate how statistical and machine learning methods can be used to integrate external and internal load indicators and assess their contribution to predicting subsequent physical performance.

Registration link for the Winter School, from November 4 to 6, 2026 in Rennes ➡️ https://lnkd.in/edbxi7Ci

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Frank Imbach is the third speaker at the DIGISPORT Winter School! He will give a presentation on the benefits and limitations of using artificial intelligence to model dose-response relationships between training load, performance, and injuries.

His research activities lie at the intersection of sports science, modeling, and data science. He is particularly interested in modeling the relationships between training load, induced adaptations, and performance, favoring multidimensional and systemic approaches using statistical and machine learning methods.

Alongside his scientific activities, he works in an industrial environment as Head of Innovation & Business Development for SEENOVATE. This dual perspective allows him to approach artificial intelligence both from the angle of its methodological contributions and limitations for modeling complex phenomena, and from that of the design and industrialization of innovative solutions applied to the sports ecosystem.

Registration link for the Winter School, from November 4 to 6, 2026 in Rennes ➡️ https://lnkd.in/edbxi7Ci

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Jacques Prioux, University Professor at the École normale supérieure de Rennes—where he directed the “Sport Sciences and Physical Education” department for 14 years—will introduce this third edition with a presentation on defining the concept of training load alongside its measurement and analysis methods.

He will present his research, which aims to study this concept in elite male and female athletes using sensors (GPS, LPS, inertial measurement units, heart rate monitors, etc.) and questionnaires (Hooper, RPE, etc.). In recent years, he has been using artificial intelligence models to try to model the effects of training load on performance and injuries.

Registration link for the Winter School, from November 4 to 6, 2026 in Rennes ➡️ https://lnkd.in/edbxi7Ci

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Thierry Busso, Professor Emeritus at Jean Monnet University Saint-Etienne, will deliver a lecture on the mathematical modeling of training load effects on performance. The core theme of his research is modeling physiological responses to exercise and training, specifically to describe and predict the dose-response relationship of training loads on athletic performance. His presentation will focus on various models derived from Banister’s model, which enables the analysis of training effects on performance. It will cover the optimization of the tapering period prior to a competition and the ability of these models to predict performance evolution across different training cycles. The limitations of this type of modeling will be presented in order to discuss its potential use for practical applications aimed at guiding a coach in building and adjusting their athletes’ training program. Registration link for the Winter School, from November 4 to 6, 2026 in Rennes ➡️ https://lnkd.in/edbxi7Ci

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𝐓𝐡𝐞 𝟑𝐫𝐝 𝐞𝐝𝐢𝐭𝐢𝐨𝐧 𝐨𝐟 𝐭𝐡𝐞 𝐃𝐈𝐆𝐈𝐒𝐏𝐎𝐑𝐓 𝐖𝐢𝐧𝐭𝐞𝐫 𝐒𝐜𝐡𝐨𝐨𝐥 𝐢𝐬 𝐨𝐟𝐟𝐢𝐜𝐢𝐚𝐥𝐥𝐲 𝐥𝐚𝐮𝐧𝐜𝐡𝐞𝐝!

From November 4 to 6, 2026, at the University of Rennes 2, the DIGISPORT Graduate School is hosting the 3rd edition of its international Winter School.

Over two and a half days, through plenary lectures and hands-on workshops, this Winter School will offer an immersive experience at the intersection of sports, health, and digital technologies.

This third edition will focus on the concept of training load and load monitoring. Leveraging digital tools to better quantify training load aims to enhance physical performance, minimize injuries, and prevent overtraining. This approach seeks to develop meaningful metrics and improve athlete monitoring throughout their training journey. A strong emphasis will be placed on mathematical modeling of this monitoring and the implementation of artificial intelligence, with specific attention given to practical use cases in rugby and swimming.

You can now register using this link ➡️ https://lnkd.in/efivnKDk

Stay tuned next week for the announcement of the first keynote speakers! 

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Find out the inspiring journeys of two students from the DIGISPORT program!

A current DIGISPORT PhD student and alumnus of the Master in Digital Sport Sciences, Jos Deforges is conducting research on “Adapted physical activity for cancer patients: the impact of virtual reality.”

A former DIGISPORT PhD student, Antoine Bouvet dedicated his research to the monitoring and modeling of swimming performance. Having also completed the initial modules of the Master in Digital Sport Sciences, he is now pursuing his career as a Junior Professor Chair at the Laboratoire M2S.

Watch the videos below!

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