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lorenzogalli-dev/README.md

Hi, I am Lorenzo! 🏃

🎓 I'm an MSc student in Sports Technology at KTH Royal Institute of Technology, one of only 36 students admitted to a program unique in Europe for combining sports science, health, computer science, and engineering. I obtained my Bachelor's degree in Computer Science at the University of Pisa in 2 years and 10 months, after spending an exchange year at the University of Italian Switzerland (USI) in Lugano.

🏃 I was part of the Dual Career program at the University of Pisa, through which I hold the status of Student-Athlete. As an athlete, I want to make sport my future career — combining athletic experience with technology, data science, and biomechanics to enhance both athletic performance and the fan experience. I'm particularly interested in how data can be used to optimize performance, prevent injuries, and support decision-making for athletes and coaches. Outside of research and code, I work as an athletics official and sports photographer, and I build websites, apps, and digital content for clubs and athletes.

🏆 In 2025, I was awarded 1st place at the Samsung Innovation Campus for the most innovative project in Sports & Technology. I led the development of Track Analyzer, a mobile app based on an AI pipeline for biomechanics analysis — designed to be accurate, fast, and accessible to every coach and athlete, not just elite programs. The project later evolved into Kinepose, and I was invited to speak about it at conferences such as "The Impact of Artificial Intelligence on Sports Activity."

🚀 My Bachelor's thesis continued in this direction, applying optimization algorithms to sports centres. Titled "Resource Scheduling Optimization for Sports Centres: A CP-SAT Based Approach," it grew out of my internship at Kode, where I developed sportslot.it — software that helps elite sports centres build weekly schedules, optimizing resource allocation to maximize user satisfaction and minimize facility waste.

🎓 Academic Journey

KTH Royal Institute of Technology 🇸🇪

  • M.Sc. in Sports Technology (2026 – Ongoing)
    • 🎓 Sports Technology
    • 🚀 The programme is an interdisciplinary collaboration between KTH and the Swedish School of Sport and Health Sciences (GIH) and provides a unique understanding of the areas of sports science and engineering.

Università di Pisa 🇮🇹

  • B.Sc. in Computer Science (2023 – 2026)

Università della Svizzera italiana (USI) 🇨🇭

  • B.Sc. in Informatics (2024 - 2025)
    • 🎓 Informatics
    • 🏅 Swiss European Mobility Programme (SEMP) Scholarship

🏆 Awards & Recognition

Winner of Samsung Innovation Campus 2025 with Track Analyzer, awarded as the most innovative project in "Sport & Tech".

Read the Article

🌐 Social

LinkedIn

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  1. Track-Analyzer Track-Analyzer Public

    Track Analyzer is the first mobile app providing high-level motion analysis for athletics balancing accuracy, speed, accessibility and portability. By using pose estimation AI models, the system pr…

    1

  2. Introduction-to-Sport-Analytics Introduction-to-Sport-Analytics Public

    Worked as a Student-Teacher for Digicamp 2025, teaching the course "Introduction to Sport Analytics", a project in which students learn how to analyze race data, clean and visualize performance tre…

    Jupyter Notebook 1

  3. Numerical-Computing Numerical-Computing Public

    Academic projects developed as part of the Numerical Computing course during my exchange year at the University of Italian Switzerland (USI), Lugano.

    MATLAB

  4. Probability-Statistics Probability-Statistics Public

    Practical python projects developed as part of the Probability & Statistics course during my exchange year at the University of Italian Switzerland (USI), Lugano.

    Jupyter Notebook

  5. Optimization-Methods Optimization-Methods Public

    Python projects developed as part of the Optimization Methods course during my exchange year at the University of Italian Switzerland (USI), Lugano.

    Jupyter Notebook