Prof. Dr. Anne Koelewijn
Chair of Machine Learning and Data Analytics Lab

Prof. Dr. Anne Koelewijn
Chair of Machine Learning and Data Analytics Lab

It is my goal to improve movement for people, e.g. those with a disability or athlete. To do so, I aim to better understand human motion, and design better devices, such as prostheses, exoskeletons, and running shoes, as well as prevent injuries, such as knee osteoarthritis. I focus on wearable technologies and the combination of physics-based models with machine learning methods.

Research projects

Personalized musculoskeletal models and gait simulations: using imaging techniques such as diffusion tensor imaging (DTI), as well as using machine learning methods, we aim to personalize musculoskeletal models and gait simulations, such that we can per

  • FAME: Bridging the gap in ACL injury prevention with FAME: Field-based Athlete Motion Evaluation and simulation

    (Third Party Funds Single)

    Project leader:
    Term: since 15. January 2024
    Acronym: FAME
    Funding source: Deutsche Forschungsgemeinschaft (DFG)

2026

2025

2024

2023

2022

2021

2020

Related Research Fields