Skip to content
View LGURI's full-sized avatar

Block or report LGURI

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
LGURI/README.md

Hi there 👋

Luis Großberger

Bewegungswissenschaftler und M.Sc.-Student Medical & Sports Technologies mit Fokus auf Biomechanik, Verletzungsprävention und Datenanalyse im Fußball. Dabei nutze ich meine praktische Erfahrung als Athletiktrainer im Nachwuchsleistungszentrum, um sportwissenschaftliche Daten fundiert auszuwerten und direkt für den Trainingsalltag nutzbar zu machen.

Movement scientist and M.Sc. student (Medical & Sports Technologies) working at the intersection of biomechanics, injury prevention and data science in football.


Background

  • M.Sc. Medical & Sports Technologies, MCI Innsbruck (2025–present, taught in English) — motion analysis, sensors & wearables, app development, AI & data analysis in sport
  • B.Sc. Movement Science, University of Stuttgart (prior studies in Mechanical Engineering)
  • Athletic trainer, FC Carl Zeiss Jena youth academy (U13–U20): performance diagnostics, load monitoring, prevention & rehab
  • Certified Athletic Trainer & Fitness Trainer (B-License); workshops in periodised training
  • Research focus: injury mechanisms in female athletes, especially ACL injuries

Featured project

injury-forecaster — Interpretable ML injury forecasting on the open SoccerMon dataset, a reproduction of Rossi et al. (2018). End-to-end pipeline: feature engineering, class-imbalance handling (ADASYN), feature selection (RFECV) and an interpretable decision tree — 0.80 recall on the injury class, with limitations documented honestly.

More work (in progress / available on request)

  • Football video analysis (YOLO + OpenCV): end-to-end automated match analysis — player & ball tracking, team assignment, running & positional metrics
  • Cleat × turf interaction during cutting movements: own study (MCI) on ground contact during match play using IMU sensors + machine learning
  • Athlete-monitoring app (Android/Java): combines load monitoring & wellness (Hooper index), injury/pain reporting, Polar integration, training planning and trainer–player communication
  • Movement analyses: CMJ on force plates, LESS score, dynamometer reliability (handheld vs. IsoMed 2000 gold standard)

Toolbox

Python (scikit-learn, pandas, YOLO, OpenCV) · MATLAB · SPSS · motion analysis (Noraxon, Vicon) · IMU & wearables · force plates · Polar · Android Studio · LaTeX

Open to

A Master's thesis from February 2027, ideally in professional football — athletics / performance & injury-prevention data analysis.

Beyond the lab

Football through and through — I love travelling to German, Austrian and international stadiums. Also into strength training / CrossFit and ski touring.

Contact

luis.grossberger@gmail.com · LinkedIn

Pinned Loading

  1. injury-forecaster injury-forecaster Public

    Interpretable ML injury forecasting on open SoccerMon data — a reproduction of Rossi et al. (2018)

    Jupyter Notebook