PhD
Clinical Data Science at LMU
Klinikum der Universität München
Klinik und Polikinik für Radiologie
Marchioninistraße 15
81377 München
Biosketch
Rachelle is currently a PhD researcher in the Faculty of Medicine at Ludwig Maximilian University (LMU). Based at LMU Klinikum, she works primarily within the Clinical Data Science group and her research sits at the intersection of deep learning and quantitative muscle Magnetic Resonance Imaging (MRI) analysis in neuromuscular diseases.
She holds a Master’s degree in Biomedical Computing from the Technical University of Munich (TUM) and a Bachelor’s degree in Computer Science from the University of the West Indies (Mona Campus), reflecting a strong foundation in both computational methods and their application to the medical domain.
Prior to her PhD, Rachelle worked as a risk manager at a medtech startup, where she supported the successful regulatory certification of the company’s first medical AI device, led the development of a platform for evaluating registered medical images, and built generative models to synthesise and classify bone tumours.
relAI Research
Rachelle’s research addresses a critical gap in the clinical management of neuromuscular diseases, a heterogeneous group of conditions characterised by progressive muscle deterioration. Current monitoring relies heavily on manual interpretation of MRI, a process that is time consuming, subjective, and difficult to scale. Her work develops a deep learning pipeline for quantitative muscle MRI analysis, spanning automated muscle segmentation, multi-sequence image analysis, and the characterisation of disease specific muscle involvement patterns. The focus is on generating outputs that are not only accurate but interpretable and meaningful in a clinical setting, with the broader aim of supporting more efficient and objective disease monitoring in neuromuscular disease.